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  • 1. Andersson, Ken
    et al.
    You, Ilsun
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sharma, Vishal
    Secure Computation on 4G/5G Enabled Internet-of-Things2019Ingår i: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, Vol. 2019, artikel-id 3978193Artikel i tidskrift (Övrig (populärvetenskap, debatt, mm))
    Abstract [en]

    The rapid development of Internet-of-ings (IoT) techniques in G/ G deployments is witnessing the generation of massive amounts of data which are collected, stored, processed, and presented in an easily interpretable form. Analysis of IoT data helps provide smart services such as smart homes, smart energy, smart health, and smart environments through G and G technologies. At the same time, the threat of the cyberattacks and issues with mobile internet security is becoming increasingly severe, which introduces new challenges for the security of IoT systems and applications and the privacy of individuals thereby. Protecting IoT data privacy while enabling data availability is an urgent but difficult task.

  • 2.
    Bin, Xiao
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahim, Rahmani
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Yuhong, Li
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Edge-based Interoperable Service-driven Information Distribution for Intelligent Pervasive ServicesIngår i: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589Artikel i tidskrift (Refereegranskat)
  • 3.
    Fashahid, Syed
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Mobile Backhaul Network Convergence2014Ingår i: Proceedings of the 2014 International Conference on Computer Network and Information Science, IEEE Computer Society, 2014, s. 66-71Konferensbidrag (Refereegranskat)
    Abstract [en]

    This research investigates a number of selected mobile backhaul network (MBHN) deployments in a simulated environment and evaluates the feasibility of each deployment in terms of network failure, convergence and resilience. Four different scenarios from target network have been considered which includes single path route scenario, multi path route scenario, access bus network scenario and MPLS scenario, where three different use cases are experimented in each scenario. Research concludes that if backhaul network failure detection time is reduced, it help to reduce the overall network convergence time. Result shows that bidirectional forwarding detection (BFD) protocol works well to detect the failure in a network. The outcome and measurements from the simulated networks can be used as a guideline for configuration of real networks.

  • 4. Golatowski, Frank
    et al.
    Butzin, Björn
    Brockmann, Tim
    Schulz, Thorsten
    Kasparick, Martin
    Li, Yuhong
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Haber, Aviv
    Sakalsız, Mustafa
    Aydemir, Özer
    Challenges and Research Directions for Blockchains in the Internet of Things2019Ingår i: 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS 2019): Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we analyze the state of the art in distributed ledger technologies and blockchains and investigate potential applications in the Internet of Things (IoT) domain. Afterwards, we discuss interoperability of blockchains, and their use in smart contracts, and artificial intelligence.

  • 5.
    Guerrero Rázuri, Javier Francisco
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Moran Cardenas, Antonio
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sundgren, David
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Mizuuchi, Ikuo
    Integration of Artificial Neural Networks and Linear Systems for the Output Feedback Control of Nonlinear Vibration Systems2014Ingår i: CCC 2014, the 33rd Chinese Control Conference, IEEE Press, 2014, s. 1850-1855Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper analyzes the integration of neural networks and linear systems for the identification, state estimation and output feedback control of weakly nonlinear systems. Considering previous knowledge about the system given by approximated linear state-space models, linear observers and linear controllers, training algorithms for the neuro-identification, state neuro-estimation and output feedback neuro-control were derived considering the dynamics of the nonlinear system. It was found that the integrated linear-neuro model can identify the dynamics of the system much more accurately than a purely linear model or a purely neuro model. It was also found that the state estimation and vibration isolation performance of the system with integrated linear-neuro output feedback control is better than the system with linear control or neuro-control.

  • 6.
    Guerrero Rázuri, Javier
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sundgren, David
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Larsson, Aron
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Effect of emotional feedback in a decision-making system for an autonomous agent2014Ingår i: Advances in Artificial Intelligence - IBERAMIA 2014: Proceedings / [ed] Ana L.C. Bazzan, Karim Pichara, Springer, 2014, s. 613-624Konferensbidrag (Refereegranskat)
    Abstract [en]

    The point of view of Isaac Asimov is unlikely in a close future, but machines that develop tasks in a sensible manner are already a fact. In light of this remark, recent research tries to understand the requirements and design options that imply providing an autonomous agent with means for detecting emotions. If we think about of exporting this model to machines, it is possible that they become capable to evolve emotionally according to such models and would take part in the society more or less cooperatively, according to the perceived emotional state. The main purpose of this research is the implementation of a decision model affected by emotional feedback in a cognitive robotic assistant that can capture information about the world around it. The robot will use multi-modal communication to assist the societal participation of persons deprived of conventional modes of communication. The aim is a machine that can predict what the user will do next and be ready to give the best possible assistance, taking in account the emotional factor. The results indicate the benefits and importance of emotional feedback in the closed loop human-robot interaction framework. Cognitive agents are shown to be capable of adapting to emotional information from humans.

  • 7.
    Hedberg, Hillevi
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Nouri, Jalal
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Hansen, Preben
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Systematic Review of Learning Trough Mobile Augmented Reality2018Ingår i: International Journal of Interactive Mobile Technologies (iJIM), ISSN 1865-7923, E-ISSN 1865-7923, Vol. 12, nr 3, s. 75-85Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In the beginning of 2000, researchers started to see the potential of using Augmented Reality (AR) in educational and foresaw that further research within the field. Since then, AR research have taken many different approaches. This is also true for AR in relation to pedagogical purposes. This study is to investigate what has been studied within the AR field related to mobile augmented reality. It attempts to make systematic review of how learning and pedagogical aspects have been approached in the articles. In recent years, mobile augmented reality has become increasingly interesting due to the mobile devices small form factors and their ability to let the students move around freely while learning. The aim of this study is to make a systematic review of pedagogical uses of mobile augmented reality. Based on a review of previous literature of mobile AR systems for pedagogical purposes, published between 2000-2017, make it possible to see in which direction mobile AR systems for education are heading and how future mobile AR systems should be designed to best fit the needs of future students so they can more effectively improve their learning.

  • 8.
    Homem, Irvin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Improving Distributed Forensics and Incident Response in Loosely Controlled Networked Environments2016Ingår i: International Journal of Security and Its Applications, ISSN 1738-9976, Vol. 10, nr 1, s. 385-414Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Mobile devices and virtualized appliances in the Internet of Things can be end nodes on varying networks owned by different parties over time, while still seamlessly participating in licit or illicit activities. Digital Forensics and Incident Response (DFIR) tools today struggle to perform digital investigations in such loosely controlled networked environments as they face several challenges including: scarcity of resources, availability, trust, privacy, data volumes, velocity and variety. In this paper we analyze the state of research in DFIR in networked environments, identifying the challenges facing DFIR tools particularly in loosely controlled network environments. We present the requirements for a system to address these challenges at the various steps of the typical digital investigation methodology. From this we identify the need for support from Peer to Peer (P2P) overlays and discuss their relative merits and drawbacks in order to identify those that would best support DFIR in loosely controlled networked environments. Finally we incorporate both structured and unstructured P2P overlays in various capacities in our architecture in order to organize devices in loosely controlled networks, using context information, thus enabling efficient capture, analysis and reporting of artifacts of use in digital investigations.

  • 9. Hu, Zhuo
    et al.
    Li, Yuhong
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Time-Scaling Data Generation Method For Internet of Things Simulation2018Ingår i: Proceedings of 2018 Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, Institute of Research Engineers and Doctors (IRED) , 2018, s. 34-40Konferensbidrag (Refereegranskat)
    Abstract [en]

    Simulation plays an important role on studing the Internet of Things (IoT) traffic, which has an increasing impact on network infrastructures.The existing simulation tools and mechanisms on IoT mainly focus on simulating large-scale deployment of IoT and heterogeneous IoT applications. This paper concentrates on how to simulate the lengthy, burthty and multi-level time-scale IoT applications quickly. A time-scale data generation (TSDG) method is proposed to reduce the used simulation time of different IoT scenarios while keeping the real world characteristics of the IoT applications. Implementations of TSDG in ns-3 and simulation experiments of smart home and smart shopping centre are described in the paper. The evaluations results show that the proposed TSDG method can effectively reduce the time used to simulation IoT applications in ns-3 while reflect the IoT application traffic in the real world.

  • 10.
    Kanter, Theo
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Fors, Uno
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Immersive Networking — A Framework for Virtual Environments with Augmented Reality in Human Decision-Making2016Ingår i: International Journal of Multimedia and Ubiquitous Engineering, ISSN 1975-0080, Vol. 11, nr 6, s. 43-60Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In this publication we present Immersive Networking as a novel framework for connecting people and places and things in virtual environments with augmented reality to be used in eg. Virtual training environments. The research is mandated by technology advances in internetworking underpinned by 5G networks and Internet-of-Things. These advances present new possibilities and challenges to integrate people, places and things in virtual environments. Existing frameworks such as MPEG-V possess representational capabilities but have insufficient support for integrating entities from the real world via heterogeneous infrastructure. MPEG-V for instance makes no statements about distributed control. Seamless experiences in virtual environment require self-organization of connectivity between people, places and things via heterogeneous 5G and Internet-of-Things infrastructures. A second important aspect of the quality of our experience is the immediacy of responses. Both aspects of seamless and self-organizing connections between entities require that we push control to the end-devices co-located with the entities themselves. These end-devices may incorporate sensing gateways and interaction devices, which include both local and non-local information from the virtual environment in the interaction. Thus delegation of control to end-devices requires means for the organizing or relations and clustering by relevance. This capability is particularly important as the projected number of devices and sensors to be connected via the Internet-of-Things is projected to be in the order of 50 billion by 2020. Immersive Networking supported by MediaSense constitutes a scalable self-organizing means for connecting people and places and things in virtual environments with augmented reality. MediaSense moves control to the edge enabling immediacy in experiences based on seamless self-organization through clustering of entities in relations organized by relevance. We conclude by validating our approach in several scenarios evaluating the relevance and application in human decision-making..

  • 11.
    Kanter, Theo
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Immersive IoT in Smart Cities2017Ingår i: ICIST 2017: Proceedings of the 7th International Conference on Information Society and Technology / [ed] M. Zdravković, M. Trajanović, Z. Konjović, Society for Information Systems and Computer Networks , 2017, Vol. 1, s. 44-49Konferensbidrag (Refereegranskat)
    Abstract [en]

    A rapidly increasing and vast number of “things” will be connected to the Internet, in all sectors of society (people, places, sensors, homes, industry, government services, etc.). The urgency of finding sustainable solutions requires “things” and services of the overall system to display autonomic intelligent behavior. The ability of cloud infrastructure to orchestrate the fine-grained and agile control of “things” is limited. This mandates an alternative approach intelligently moving control to the “things”. Thereby we minimize the reliance on cloud infrastructure, and are able to build more agile, intelligent and effective solutions in various application areas, such as Health, Transport and through Automation. We provide examples of such novel solutions tested in “Urban ICT Arena”, a largescale smart city testbed in Stockholm.

  • 12.
    Kanter, Theo
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li, Yuhong
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Xiao, Bin
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Vehicular Network Enabling Large-Scale and Real-Time Immersive Participation2014Ingår i: Internet of Vehicles – Technologies and Services: Proceedings, Springer, 2014, s. 66-75Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents a system and mechanisms enabling real-time awareness and interaction among vehicles connected via heterogeneous mobile networks. Information obtained by vehicles is considered as the centre in our system. Vehicles are organized dynamically in overlaid clusters. In each cluster, vehicle-related information is pushed in time. As a network node, each vehicle has the function of content abstraction and distribution. Through processing and abstracting the sensed data, various vehicle-related information are organized and denoted in hierarchical names at each node. The data are transmitted and forwarded using protocols accordant with the characteristics of the content. In this way, large-scale and real-time information exchanges among vehicles are realized. Part of our system has been implemented and tested. An open source platform providing standard sensor and actuator API can be provided.

  • 13.
    Kanter, Theo
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Mahmud, Arif
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Conceptual Framework for Internet of Things’ Virtualization via OpenFlow in Context-aware Networks2013Ingår i: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 10, nr 6, s. 16-27Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A novel conceptual framework is presented in this paper with an aim to standardize and virtualize Internet of Things’ (IoT) infrastructure through deploying OpenFlow technology. The framework can receive e-services based on context information leaving the current infrastructure unchanged. This framework allows the active collaboration of heterogeneous devices and protocols. Moreover it is capable to model placement of physical objects, manage the system and to collect information for services deployed on an IoT infrastructure. Our proposed IoT virtualization is applicable to a random topology scenario which makes it possible to 1) share flow-sensors’ resources, 2) establish multi-operational sensor networks, and 3) extend reachability within the framework without establishing any further physical networks. Flow-sensors achieve better results comparable to the typi-cal-sensors with respect to packet generation, reacha-bility, simulation time, throughput, energy consump-tion point of view. Even better results are possible through utilizing multicast groups in large scale net-works.

  • 14.
    Kanter, Theo
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Walters, Jamie
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sauter, Willmar
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Distributed Immersive Participation as Crowd-Sensing in Culture Events2014Ingår i: Journal of Virtual Worlds Research, ISSN 1941-8477, E-ISSN 1941-8477, Vol. 7, nr 2Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This article investigates new forms for creating and enabling massive and scalable participatory immersive experiences in live cultural events, characterized by processes, involving pervasive objects, places and people. The multi-disciplinary research outlines a new paradigm for collaborative creation and participation towards technological and social innovation, tapping into crowd-sensing. The approach promotes user-driven content-creation and offsets economic models thereby rewarding creators and performers. In response to these challenges, we propose a framework for bringing about massive and real-time presence and awareness on the Internet through an Internet-of-Things infrastructure to connect artifacts, performers, participants and places. Equally importantly, we enable the in-situ creation of collaborative experiences building on relevant existing and stored content, based on decisions leveraging multi-criteria clustering and proximity of pervasive information, objects, people and places. Finally, we investigate some new ways for immersive experiences via distributed computing but pointing forward to the necessity to do more with regard to collaborative creation.

  • 15.
    Li, Yuhong
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    An Information-Centric Approach for Data Dissemination in Vehicular Networks2014Ingår i: 2014 International Conference on Connected Vehicles & Expo (ICCVE 2014), IEEE conference proceedings , 2014, s. 888-893Konferensbidrag (Refereegranskat)
    Abstract [en]

    The features of information dissemination in vehicular networks make it necessary to introduce Information-Centric Networking (ICN) technique to vehicular networks. However, some design principles of ICN must be implemented and extended in order to realize efficient data dissemination in vehicular networks. This paper proposes an approach for realizing ICN-based data dissemination in vehicular networks. An architecture for organizing and disseminating information in a vehicle is suggested. The concept of cluster of common interest is proposed, with which groups of vehicles can be established dynamically according to the information they are interested in. Within each cluster, information are disseminated to the vehicles in a way decided by the features of the information. To show the feasibility of our approach, the approach has been implemented and tested in the simulation environment.

  • 16.
    Li, Yuhong
    et al.
    Beijing University of Posts and Telecommunications, Beijing, China.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Differentiated Context Maintenance and Exchange oriented to Internet of Things2015Ingår i: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 12Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Context information can add more meaning and value to the sensor data in Internet of Things. However, due to the large amount of sources of contexts and sensor data, the exchange of contexts through the networks may cause more and more data traffic. This paper proposes a novel method for maintaining and exchanging contexts through the Internet more efficiently. Contexts are classified into different levels. Each level of contexts is maintained and exchanged using different methods. A new protocol for exchanging the contexts is designed. Through the independent transmitting of contexts and sensor data, the context-awareness in Internet of Things can be realized, and the network bandwidth usage can be greatly reduced and thus the energy of node can also be saved.

  • 17.
    Li, Yuhong
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Beijing University of Posts and Telecommunications, China.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Fouassier, Nicolas
    Stenlund, Peik
    Ouyang, Kun
    A Blockchain-based Architecture for Stable and Trustworthy Smart Grid2019Ingår i: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 155, s. 410-416Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Smart Grid represents an efficient power transmission, distribution and management system. However, solutions for Smart Grid have raised security and privacy problems. Moreover, with the introduction of renewable energy resources, such as rooftop solar panels and small biogas plants, more and more electricity consumers are involved in the energy generation system. This may cause the power system unstable and/or the waste of the energy. Blockchain is a promising technology for solving these problems in the future energy system on account of its distributed trust, anonymity, data integrity and availability. In this paper, we propose a Blockchain-based architecture for Smart Grid. By using the proposed architecture, electricity consumers can be fully involved in the energy system and tracing the details of the energy they have consumed or generated. At the same time, the stability of the energy system can be kept, reducing the waste of the energy and potential hazard to the electrical equipment.

  • 18. Li, Yuhong
    et al.
    Su, Xiang
    Riekki, Jukka
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A SDN-based architecture for horizontal Internet of Things services2016Ingår i: IEEE International Conference on Communications (ICC 2016), IEEE Computer Society, 2016Konferensbidrag (Refereegranskat)
    Abstract [en]

    The Internet of Things (IoT) architecture is expected to evolve into a horizontal model containing various open systems, integrated environments, and platforms. However, not much research effort has been devoted to developing architectures for horizontal IoT solutions so far. This paper presents an IoT architecture based on Software-Defined Networking (SDN). In this architecture, devices, gateways, and data are open and programmable to IoT application developers and service operators. Moreover, IoT data provision and interoperability are supported at different levels. We present an implementation of the proposed architecture. Our implementation shows that the proposed architecture enables rapid creation of IoT applications by reusing ready applications and data. The measurement and evaluation results demonstrate the feasibility of the proposed architecture.

  • 19. Li, Yuhong
    et al.
    Yang, Yusen
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Su, Xiang
    Riekki, Jukka
    Gap-based Caching for ICN-based Vehicular Networks2016Konferensbidrag (Övrigt vetenskapligt)
  • 20.
    Mahmud, A
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Deployment of flow-sensors in Internet of Things’ virtualization via OpenFlow2012Ingår i: 2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing: Proceedings / [ed] Juan E. Guerrero, IEEE Computer Society, 2012, s. 195-200Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    A novel idea presented in this paper is to deploy the Open Flow technology in wireless sensor networks that can lead to a significant achievement in Internet of things and cloud computing arena through network virtualization. Two new abstract layers namely Common platform layer and virtualization layer can be added at the top and bottom of a preset Infrastructure as a Service architecture. Our proposed IOT virtualization can be applicable in a random topology scenario which makes possible of the flow-sensors' resources to be shared, establishment of multi operational sensor networks and escalation of the reach ability under the same platform without establishing any further physical networks. Flow-sensor achieved 39% more reach ability than the typical sensors in an ideal scenario and even better results are possible from the amount of packets generation and simulation time viewpoint for larger scale networks.

  • 21.
    Mahmud, Arif
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Flow-sensor Mobility and Multicast Support in Internet of Things’ Virtualization2012Ingår i: 2012 International Conference on ICT Convergence: "Global Open Innovation Summit for Smart ICT Convergence", IEEE Communications Society, 2012, s. 16-22Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    This paper studied communication between sensor groups-access points and a networking & communication model and packet transmission algorithm such that networks are divided into several multicast domains of stationary flow-sensors and received several packet-flows from mobile flow-sensors. The proposed approach to Internet of Things' virtualization is suitable for invoking and multi-tasking sensor networks within random network scenarios ranging from large single operational networks to distinct service networks within the involvement of multiple operational networks. The result implies larger multicast groups perform better than smaller ones whereas large flows of packets decrease the performances from the whole network viewpoint.

  • 22. Moran Cardenas, Antonio
    et al.
    Guerrero Rázuri, Javier Francisco
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sundgren, David
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Autonomous Motion of Mobile Robot Using Fuzzy-Neural Networks2013Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper analyzes the performance and practical implementation of fuzzy-neural networks for the autonomous motion of mobile robots. The designed fuzzy-neural controller is a refined version of a conventional fuzzy controller, and was trained to optimize a given cost function minimizing positioning error. It was found that the mobile robot with fuzzy-neural controller presents good positioning and tracking performance for different types of desired trajectories. It was verified by computer simulation as well as experimentally using a laboratory-scale car-like robot model.

  • 23. Moran Cardenas, Antonio
    et al.
    Rázuri, Javier G.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bonet, Isis
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sundgren, David
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Design of High Accuracy Tracking Systems with H Infinite Preview Control2014Ingår i: POLIBITS Research Journal on Computer Science and Computer Engineering With Applications, ISSN 1870-9044, Vol. 50, s. 21-28Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Positioning and tracking control systems are an important component of autonomous robot applications. This paper presents the design method of tracking control systems based on H infinite preview control where the present and future desired positions of the robot are used to determine the control actions to be applied so that the robot describes the desired trajectory as close as possible. The performance improvements achieved with H infinite preview control have been examined in the frequency and time domains for different types of reference signals when applied to a one-dimensional positioning system. It was found that preview control improves the tracking performance by improving the phase response of the tracking system.

  • 24. Muthu, Arun
    et al.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rajaram, Dinakaran
    Emulating Trust Zone in Android Emulator with Secure Channeling2013Ingår i: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 10, nr 5, s. 40-51Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    There is a raise in penetration of smart phone while using enterprise application, as most of them are downloaded from the public market, resulting in challenge for security framework, causing a threat to lose sensitive user data. To prevent this ARM introduces the virtualization technique in hardware level, which prevents processing of trusted application that is completely isolated from general processing. To improvise this, we need to understand ARM Architecture; however it is still black box for users and developers. In this article, we take a deep look at the hardware architecture of the ARM trust zone to study and analyze its implementation and also to create its replica in emulator. Moreover we describe feasibility of various designs, implementation of trust zone feature in android emulator; with sample trusted application called secure channeling and concludes with annotation of suitable design on future enhancement. The security domain for secure processing and utility in emulator is to benefit the user and developer community.

  • 25.
    Nevelsteen, Kim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Comparing properties of massively multiplayer online worlds and the Internet of Things2016Ingår i: 2016 IEEE Symposium on Computers and Communication (ISCC), IEEE Computer Society, 2016, s. 1-5Konferensbidrag (Refereegranskat)
    Abstract [en]

    A virtual world engine at the massively multiplayer scale is a massively multiplayer online world (MMOW); one thing virtual world engines realized when going into the scale of MMOs, is the cost of maintaining a potentially quadratic number of interactions between a massive number of objects, laid out in a spatial dimension. With the rise of the Internet of Things (IoT), this means recognizing the need for architectures to handle billions of devices and their interactions. Research into IoT was fueled by research in wireless sensor networks, but rather than start from a device perspective, this article looks at how architectures deal with interacting entities at large scale. The domain of MMOWs is examined for properties that are affected by scale. Thereafter the domain of IoT is evaluated to see if each of those properties are found and how each is handled. By comparing the current state of the art of MMOWs and IoT, with respect to scalability, it is discussed how research from one domain can possibly be exapted to the other domain and vice versa. A case study of a MMOW interfacing with IoT is presented in closing.

  • 26.
    Rahman, Hasibur
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Enabling Distributed Context Entity Discovery for an Internet-of-Things Platform2015Ingår i: Proceedings of 2015 SAI Intelligent Systems Conference (IntelliSys), Institute of Electrical and Electronics Engineers (IEEE), 2015Konferensbidrag (Refereegranskat)
    Abstract [en]

    Use of context has been prevailing in distributed computing with the emergence of mobile computing. An entity is said to be context-aware if it responds to context changes. These distributed context-aware entities share context information in order to make intelligent decisions or carry out important tasks. MediaSense, an Internet-of-Things (IoT) platform, offers such intelligent delivery of context information to any host- anywhere. However, such an IoT platform is facing challenge of discovering context entities. In view of this, this paper particularly addresses the challenge of discovering distributed context entities by extending the distributed protocol, Distributed Context eXchange Protocol (DCXP), for MediaSense platform. In particular, a publish/subscribe approach has been employed to overcome the challenge which enables fast context entity discovery.

  • 27.
    Rahman, Hasibur
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Supporting Self-Organization with Logical-clustering Towards Autonomic Management of Internet-of-Things2015Ingår i: International Journal of Advanced Computer Sciences and Applications, ISSN 2158-107X, E-ISSN 2156-5570, Vol. 6, nr 2, s. 24-33Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    One of the challenges for Autonomic Management in Future Internet is to bring about self-organization in a rapidly changing environment and enable participating nodes to be aware and respond to changes. The massive number of participating nodes in Internet-of-Things calls for a new approach in regard of Autonomic Management with dynamic self-organization and enabling awareness to context information changes in the nodes themselves. To this end, we present new algorithms to enable self-organization with logical-clustering, the goal of which is to ensure that logical-clustering evolves correctly in the dynamic environment. The focus of these algorithms is to structure logical-clustering topology in an organized way with minimal intervention from outside sources. The correctness of the proposed algorithm is demonstrated on a scalable IoT platform, MediaSense. Our algorithms sanction 10 nodes to organize themselves per second and high accuracy of nodes discovery. Finally, we outline future research challenges towards autonomic management of IoT.

  • 28.
    Rahman, Hasibur
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Enabling distributed intelligence assisted Future Internet of Things Controller (FITC)2018Ingår i: Applied Computing and Informatics, ISSN 1578-4487, E-ISSN 2210-8327, Vol. 14, nr 1, s. 73-87Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The unprecedented prevalence of ubiquitous sensing will revolutionise the Future Internet where state-of-the-art Internet-of-Things (IoT) is believed to play the pivotal role. In the fast forwarding IoT paradigm, hundreds of billions of things are estimated to be deployed which would give rise to an enormous amount of data. Cloud computing has been the prevailing choice for controlling the connected things and the data, and providing intelligence based on the data. But response time and network load are on the higher side for cloud based solutions. Recently, edge computing is gaining growing attention to overcome this by employing rule-based intelligence. However, requirements of rules do not scale well with the proliferation of things. At the same time, rules fail in uncertain events and only offer pre-assumed intelligence. To counter this, this paper proposes a novel idea of leveraging the belief-network with the edge computing to utilize as an IoT edge-controller the aim of which is to offer low-level intelligence for IoT applications. This low-level intelligence along with cloud-based intelligence form the distributed intelligence in the IoT realm. Furthermore, a learning approach similar to reinforcement learning has been proposed. The approach, i.e. enabling a Future IoT Controller (FITC) has been verified with a simulated SmartHome scenario which proves the feasibility of the low-level intelligence in terms of reducing rules domination, faster response time and prediction through learning experiences at the edge.

  • 29.
    Rahman, Hasibur
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Enabling Scalable Publish/Subscribe for Logical-Clustering in Crowdsourcing via MediaSense2014Ingår i: Proceedings of 2014 Science and Information Conference, IEEE Computer Society, 2014, s. 64-71Konferensbidrag (Refereegranskat)
    Abstract [en]

    Crowdsourcing was initially devised as a method for solving problems through soliciting contributions from a large online community. Crowdsourcing is facing new challenges to handle the increase of information in real-time from a vast number of sources in Internet-of-Things (IoT) scenarios. Thus we seek to leverage the power of social web, smart-devices, sensors, etc., fusing these heterogeneous sources into distributed context information in order to enable novel crowdsourcing scenarios. This mandates research in efficient management of heterogeneous and distributed context information through logical-clustering. Logical-clustering can efficiently filter out similar context information obtained from distributed sources based on context similarity. However, the efficiency of logical-clustering is challenged by the distribution of context information in crowdsourcing scenarios. Publish/Subscribe mechanism can counter this challenge. To this end, we propose a scalable publish/subscribe model, MediaSense, which is based on p2p technologies. This paper presents our approach to a scalable logical-clustering concept. The evaluation of our approach applied to MediaSense can achieve a rate of approximately 3530 messages/sec for publish/subscribe events. Moreover, this approach further achieves 99% increase for subscription matching and 163% improvement in memory requirements in comparison with other approaches.

  • 30.
    Rahman, Hasibur
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Entity Configuration and Context-Aware reasoNer (CAN) towards Enabling an Internet of Things Controller2016Ingår i: Intelligent Systems and Applications: Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2015 / [ed] Yaxin Bi, Supriya Kapoor, Rahul Bhatia, Springer, 2016, s. 237-258Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    The Internet of Things (IoT) paradigm has so far been investigating into designing and developing protocols and architectures to provide connectivity anytime and anywhere for anything. IoT is currently fast forwarding towards embracing a paradigm shift namely Internet of Everything (IoE) where making intelligent decisions and providing services remains a challenge. Context plays an integral role in reasoning the collected data and to provide context-aware services and is gaining growing attention in the IoT paradigm. To this end, a Context-Aware reasoNer (CAN) has been proposed and designed in this chapter. The proposed CAN is a generic enabler and is designed to provide services based on context reasoning. Discovering and filtering entities, i.e. entity configuration, become pivotal in analysing context reasoning to provide right services to right context entities in right time. This chapter leverages the concept of entity configuration and CAN towards enabling an IoT controller. The chapter further demonstrates use cases and future research directions towards generic CAN development and facilitating context-aware services to IoE.

  • 31.
    Rahman, Hasibur
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Multi-Modal Context-Aware reasoNer (CAN) at the Edge of IoT2017Ingår i: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 109, s. 335-342Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Future Internet is expected to be driven by prevalence of the Internet of Things (IoT). This prevalence of IoT promises to impact every aspect of human life in the foreseeable future where computing paradigm would witness huge influx of IoT data. Context is gaining growing attention to make sense of the data and it is envisaged that context-aware computing would act as an indispensable enabler for IoT. Contextualizing the collected IoT data enables to reap value from the data and to harvest the knowledge. Reasoning the contextualized data, that is, context information is imperative to the vision of harvesting knowledge. Edge computing is also expected to play a vital role in IoT to reduce dependency on cloud based solution, to achieve faster response, and to provide intelligence closer to the IoT things. The combination of context-awareness and edge solution would be inseparable in the future IoT. Furthermore, IoT vision comprises of different IoT applications controlled by a capable controller at the edge, an edge controller necessitates to counter the challenge of providing knowledge for each of the IoT applications. Therefore, such a controller requires to offer different context-aware reasoning to alleviate the intelligence-of-things. In view of this, this paper proposes a multi-modal context-aware reasoner the aim of which is to provide knowledge at the edge for each IoT application. The context-aware reasoning has been verified with rules-based and Bayesian reasoning for three IoT applications and initial results suggest that it is promising to realize such multimodal reasoning at the edge with low latency.

  • 32.
    Rahman, Hasibur
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Realising Dynamism in MediaSense Publish/Subscribe Model for Logical-Clustering in Crowdsourcing2014Ingår i: International Journal of Advanced Research in Artificial Intelligence, ISSN 2165-4050, Vol. 3, nr 11Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The upsurge of social networks, mobile devices, Internet or Web-enabled services have enabled unprecedented level of human participation in pervasive computing which is coined as crowdsourcing. The pervasiveness of computing devices leads to a fast varying computing where it is imperative to have a model for catering the dynamic environment. The challenge of efficiently distributing context information in logical-clustering in crowdsourcing scenarios can be countered by the scalable MediaSense PubSub model. MeidaSense is a proven scalable PubSub model for static environment. However, the scalability of MediaSense as PubSub model is further challenged by its viability to adjust to the dynamic nature of crowdsourcing. Crowdsourcing does not only involve fast varying pervasive devices but also dynamic distributed and heterogeneous context information. In light of this, the paper extends the current MediaSense PubSub model which can handle dynamic logical-clustering in crowdsourcing. The results suggest that the extended MediaSense is viable for catering the dynamism nature of crowdsourcing, moreover, it is possible to predict the near-optimal subscription matching time and predict the time it takes to update (insert or delete) context-IDs along with existing published context-IDs. Furthermore, it is possible to foretell the memory usage in MediaSense PubSub model.

  • 33.
    Rahman, Hasibur
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    The Role of Mobile Edge Computing Towards Assisting IoT with Distributed Intelligence: A SmartLiving Perspective2018Ingår i: Mobile Solutions and Their Usefulness in Everyday Life / [ed] Sara Paiva, Springer, 2018, s. 33-45Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Internet-of-Things (IoT) promises to impact every aspect of our daily life by connecting and automating everyday objects which bring the notion of SmartLiving. While it is certain that the trend will grow at a rapid speed, at the same time, challenge to alleviate intelligence of things by reaping value from the data requires to be addressed. The intelligence further cannot depend only on the existing cloud-based solutions which edge computing is expected to mitigate by integrating distributed intelligence. An IoT application necessitates applying knowledge with low latency. However, to comply with the vision of autonomic IoT and real-time intelligence, extracting and applying knowledge are necessitated for which this chapter proposes to exploit mobile edge computing (MEC) to further assist distributed intelligence. Therefore, the problem that this chapter addresses is feasibility investigation of MEC to provide intelligence by reasoning contextualised data and, thereby, the role of MEC in distributed intelligence.

  • 34.
    Rahman, Hasibur
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Persson, Magnus
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Amundin, Stefan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Reasoning Service enabling SmartHome Automation at the Edge of Context Networks2016Ingår i: New Advances in Information Systems and Technologies: Volume 1 / [ed] Álvaro Rocha, Ana Maria Correia, Hojjat Adeli, Luis Paulo Reis, Marcelo Mendonça Teixeira, Springer, 2016, s. 777-786Konferensbidrag (Refereegranskat)
    Abstract [en]

    The popular concept of SmartHome means that the appliances such as lighting, heating and door locks are controllable remotely through for example remote controls or mobile phones. The concept is becoming more and more realizable due to recent advancements in Internet-enabled technologies. SmartHomes can become even more intelligent and automated by exploiting such intelligent and affordable Internet-enabled technologies. However, this necessitates a context-aware system that provides services to respond to the context changes to enable such SmartHome automation at the edge of today’s context-centric networks. To this end, this paper designs and develops a context-aware reasoning service for home automation which provides a novel way to connect SmartHomes through the use of a distributed context exchange network overlay. It enables mobility service application to communicate with and control SmartHomes remotely.

  • 35.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Autonomous Cooperative Decision-Making in Massively Distributed IoT via Heterogenous Networks2017Ingår i: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, Association for Computing Machinery (ACM), 2017, artikel-id 25Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents a disruptive approach "Immersive Networking" enabling massively distributed IoT nodes to participate in autonomous and cooperative decision-making. The approach is mandated by perceived limitations in 5G networking architecture maintaining control in the edge gateway. In our approach, control may be delegated to clusters of IoT nodes beyond the edge gateway. The communication is event-based involving publish-subscribe between related nodes. Clusters are identified in an autonomic fashion based on multi-criteria proximity. Local decisions can combine global and local context information to establish network slices in a decentralized fashion based on application demands. Moreover, such decisions may be part of a collaborative effort (map-reduce) based on either local or global context. Application demands expressed as such are modeled compatible with Open Data initiatives. We demonstrated feasibility of the approach and evaluate its advantages over the 5G architecture involving an edge gateway.

  • 36.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Layering the Internet-of-Things with Multicasting in Flow-sensors for Internet-of-services2015Ingår i: International Journal of Multimedia and Ubiquitous Engineering, ISSN 1975-0080, Vol. 10, nr 12, s. 37-52Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Development of Internet-of-Services will be hampered by heterogeneous Internet-of-Things infrastructures, such as inconsistency in communicating with participating objects, connectivity between them, topology definition & data transfer, access via cloud computing for data storage etc. Our proposed solutions are applicable to a random topology scenario that allow establishing of multi-operational sensor networks out of single networks and/or single service networks with the participation of multiple networks; thus allowing virtual links to be created and resources to be shared. The designed layers are context-aware, application-oriented, and capable of representing physical objects to a management system, along with discovery of services. The reliability issue is addressed by deploying IETF supported IEEE 802.15.4 network model for low-rate wireless personal networks. Flow- sensor succeeded better results in comparison to the typical - sensor from reachability, throughput, energy consumption and diversity gain viewpoint and through allowing the multicast groups into maximum number, performances can be improved.

  • 37.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Åhlund, C.
    A self configuring fuzzy Active Queue Management controller in heterogeneous networks2010Ingår i: ICT 2010: 2010 17th International Conference on Telecommunications, 2010, s. 634-641Konferensbidrag (Refereegranskat)
    Abstract [en]

    To achieve self configuring of Active Queue Management based on Fuzzy Logic Controller (FLC), we propose a Fuzzy Adaptive Active Queue Management Controller (FAAQMC). FAAQMC eliminates buffer overflow by adapting the buffer size to the required queue length with a control cycle time shorter than the mean inter-arrival time of a burst. This makes FAAQMC suitable to manage invariant burstiness or self-similar network traffic.

  • 38.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li, Yuhong
    Eberg, Karl
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Stevelind, Marcus
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Mobile Blue Gateway - an Application for Multicasting Data to Populations of Bluetooth Low Energy Sensors for Smart Community Sensing2017Ingår i: Proceedings of the Second International Conference on Internet of things and Cloud Computing, Association for Computing Machinery (ACM), 2017Konferensbidrag (Refereegranskat)
    Abstract [en]

    Information distribution and management of large Bluetooth Low Energy Wireless Sensor Networks today, is a time-consuming and tedious task for the user. With the current tools available for public use, sensors have to be updated in a one-by-one basis. Remotely sensors updating through for example remote controls or gateways is not possible. The remote sensors updating concept is becoming more and more realizable due to recent advancements in Internet-enabled technologies. However, this necessitates a blue gateway system that provides services to respond to the remotely sensors updating to enable such Mobile Blue Gateway automation at the edge of today’s networks for smart community sensing. To this end, this paper designs and develops a Mobile Blue Gateway which provides a novel way to communicate and distribute information updating through the use of the workload between multiple gateways. It enables the user to remotely update sensors of multiple gateways simultaneously.

  • 39.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li, Yuhong
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Scalable Distriubuted Ledger for Internet of Things based on Edge Computing2018Ingår i: Proceedings of 2018 Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, Institute of Research Engineers and Doctors (IRED) , 2018, s. 41-45Konferensbidrag (Refereegranskat)
    Abstract [en]

    Internet of Things (IoT) is becoming necessities of people’s daily life and establishing itself as an essential part of future Internet. One of the challenges for using IoT is the security of data collected by trillions of IoT devices and used by millions of services. Distributed ledger technology (DLT) provides a distributed security method which can benefit IoT. Yet challenges are put forward when integrating DLT with IoT, such as scalability and heterogeneous capability of IoT devices. In this paper, we propose a mechanism for integrating DLT in IoT by using edge computing technology, taking the scalability and heterogeneous capability of IoT devices into consideration. IoT devices are clustered dynamically into groups based on various proximity context information. A cluster head is used to bridge the IoT devices with the blockchain network where smart contract is deployed. Through this way, the security of the IoT is improved and the scalability and latency are solved. We elaborate our mechanism and discuss issues that should be considered and implemented when using the proposed mechanism.

  • 40.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahman, Hasibur
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Network traffic efficiency analysis for logical clustering of flow-sensors2013Ingår i: International Journal of Advancements in Computing Technology (IJACT), ISSN 2005-8039, Vol. 5, nr 13, s. 1-13Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In the current era, access to information has become ubiquitous for anything and anyone, and the trend will continue in the foreseeable future as well. Sensor networks have been an integral part of pervasive computing and are expected to play a pivotal role in the future Networked Society. Context information is ubiquitous due to the deployment of sensors in Internet infrastructure and availability to services. This corresponds to the phenomena where any situation can be sensed and analyzed anywhere. Services can access heterogeneous context information anywhere through the distributed acquisition and dissemination of sensor data assembled from physical objects. The novel approach of logical clustering is beneficial for heterogeneous interoperability of physical objects, thereby, heterogeneous contexts. The idea enables resources (data, services) to be shared among physically distributed objects. The approach provides topological sensor networks with scalability, robustness, mobility, heterogeneity support, adaptability to different contexts, etc. A performance study demonstrates feasibility and scalability, adaptability, heterogeneity, and robustness of the proposed approach. Computational efficiency plays a significant role so that network traffic does not encounter abrupt and frequent fluctuations. In this paper, further computational efficiency analysis in terms of network traffic for logical clustering is highlighted.

  • 41.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahman, Hasibur
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    On Performance of Logical-Clustering of Flow-Sensors2013Ingår i: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 10, nr 5, s. 1-13Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In state-of-the-art Pervasive Computing, it is envisioned that unlimited access to information will be facilitated for anyone and anything. Wireless sensor networks will play a pivotal role in the stated vision. This reflects the phenomena where any situation can be sensed and analyzed anywhere. It makes heterogeneous context ubiquitous. Clustering context is one of the techniques to manage ubiquitous context information efficiently to maximize its potential. Logical-clustering is useful to share real-time context where sensors are physically distributed but logically clustered. This paper investigates the network performance of logical-clustering based on ns-3 simulations. In particular reliability, scalability, and reachability in terms of delay, jitter, and packet loss for the logically clustered network have been investigated. The performance study shows that jitter demonstrates 40 % and 44 % fluctuation for 200 % increase in the node per cluster and 100 % increase in the cluster size respectively. Packet loss exhibits only 18 % increase for 83 % increase in the packet flow-rate.

  • 42.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahman, S. M. Hasibur
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Context‐Based Logical Clustering of Flow‐Sensors ‐ Exploiting HyperFlow and Hierarchical DHTs2013Ingår i: RNIS: Research Notes in Information and Service Sciences, ISSN 2287-1934, Vol. 14, s. 721-728Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In the state-of-the-art sensor networks are becoming an integral part of ubiquitous computing. Context information is ubiquitous due to the deployment of sensors in Internet infrastructure and availability to services. This corresponds to the phenomena where any situation can be sensed and analyzed anywhere. Services can access heterogeneous context information anywhere through the distributed acquisition and dissemination of sensor data assembled from physical objects. A novel idea of clustering sensors based on context similarity is presented in this paper. The sensors are physically distributed but logically clustered based on similar context. This will enable resources (data, services) to be shared. The network is a two-tier hierarchical distributed hash tables (DHTs) system based on the HyperFlow platform. The approach provides topological sensor networks with scalability, robustness, mobility, heterogeneity support, adaptability to different contexts, etc. A performance study demonstrates feasibility and scalability, adaptability, heterogeneity, and robustness of the proposed approach.

  • 43.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Åhlund, Christer
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Design of active queue management for robust control on access router for heterogeneous networks2011Ingår i: EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, E-ISSN 1687-1499, artikel-id 946498Artikel i tidskrift (Refereegranskat)
  • 44. Reza Faragardi, Hamid
    et al.
    Fotouhi, Hossein
    Nolte, Thomas
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Cost Efficient Design of a Multi-Sink Multi-Controller WSN in a Smart Factory2017Ingår i: 2017 IEEE 19th Intl Conference on High Performance Computing and Communications HPCC 2017: Proceedings / [ed] Patrick Kellenberger, Institute of Electrical and Electronics Engineers (IEEE), 2017, s. 594-602Konferensbidrag (Refereegranskat)
    Abstract [en]

    Internet of Things (IoT), one of the key elements of a smart factory, is dubbed as Industrial IoT (IIoT). Software defined networking is a technique that benefits network management in IIoT applications by providing network reconfigurability. In this way, controllers are integrated within the network to advertise routing rules dynamically based on network and link changes. We consider controllers within Wireless Sensor Networks (WSNs) for IIoT applications in such a way to provide reliability and timeliness. Network reliability is addressed for the case of node failure by considering multiple sinks and multiple controllers. Real-time requirements are implicitly applied by limiting the number of hops (maximum path-length) between sensors and sinks/controllers, and by confining the maximum workload on each sink/controller. Deployment planning of sinks should ensure that when a sink or controller fails, the network is still connected. In this paper, we target the challenge of placement of multiple sinks and controllers, while ensuring that each sensor node is covered by multiple sinks (k sinks) and multiple controllers (k′ controllers). We evaluate the proposed algorithm using the benchmark GRASP-MSP through extensive experiments, and show that our approach outperforms the benchmark by lowering the total deployment cost by up to 24%. The reduction of the total deployment cost is fulfilled not only as the result of decreasing the number of required sinks and controllers but also selecting cost-effective sinks/controllers among all candidate sinks/controllers.

  • 45.
    Rázuri, Javier G.
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sundgren, David
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Moran, Antonio
    Bonet, Isis
    Larsson, Aron
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Speech emotion recognition in emotional feedbackfor Human-Robot Interaction2015Ingår i: International Journal of Advanced Research in Artificial Intelligence (IJARAI), ISSN 2165-4050, E-ISSN 2165-4069, Vol. 4, nr 2, s. 20-27Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    For robots to plan their actions autonomously and interact with people, recognizing human emotions is crucial. For most humans nonverbal cues such as pitch, loudness, spectrum, speech rate are efficient carriers of emotions. The features of the sound of a spoken voice probably contains crucial information on the emotional state of the speaker, within this framework, a machine might use such properties of sound to recognize emotions. This work evaluated six different kinds of classifiers to predict six basic universal emotions from non-verbal features of human speech. The classification techniques used information from six audio files extracted from the eNTERFACE05 audio-visual emotion database. The information gain from a decision tree was also used in order to choose the most significant speech features, from a set of acoustic features commonly extracted in emotion analysis. The classifiers were evaluated with the proposed features and the features selected by the decision tree. With this feature selection could be observed that each one of compared classifiers increased the global accuracy and the recall. The best performance was obtained with Support Vector Machine and bayesNet.

  • 46.
    Rázuri, Javier G.
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sundgren, David
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Moran Cardenas, Antonio
    Automatic Emotion Recognition through Facial Expression Analysis in Merged Images Based on an Artificial Neural Network2013Ingår i: 2013 12th Mexican International Conference on Artificial Intelligence (MICAI): Proceedings, IEEE Computer Society, 2013, s. 85-96Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper focuses on a system of recognizing human’s emotion from a detected human’s face. The analyzed information is conveyed by the regions of the eye and the mouth into a merged new image in various facial expressions pertaining to six universal basic facial emotions. The output information obtained could be fed as an input to a machine capable to interact with social skills, in the context of building socially intelligent systems. The methodology uses a classification technique of information into a new fused image which is composed of two blocks integrated by the area of the eyes and mouth, very sensitive areas to changes human’s expression and that are particularly relevant for the decoding of emotional expressions. Finally we use the merged image as an input to a feed-forward neural network trained by back-propagation. Such analysis of merged images makes it possible, obtain relevant information through the combination of proper data in the same image and reduce the training set time while preserved classification rate. It is shown by experimental results that the proposed algorithm can detect emotion with good accuracy.

  • 47.
    Sadique, Kazi Masum
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Identity Management in Internet of Things: A Software-Defined Networking Approach2020Ingår i: Proceedings of the 2nd International Conference on Communication, Devices and Computing / [ed] Sumit Kundu, U. Shripathi Acharya, Chanchal Kr. De, Surajit Mukherjee, Springer, 2020, s. 495-504Konferensbidrag (Refereegranskat)
    Abstract [en]

    Internet of things (IoT) network needs to accommodate billions of connected smart objects (things). Connected IoT objects should be able to communicate with each other. Objects should be able to travel between different networks regardless of their locations, network providers, and manufacturers. To allow transparent movement of IoT objects, it is very important to have a trust relationship between these objects. To establish trusted relationship, unique identity is one of the key properties for any IoT object. It will not be possible for the devices to freely move within the networks if we do not have a common identity solution. The use of software-defined networking (SDN) approach in IoT is increasing these days, due to its flexibility and easy adaptability with any network. In this paper, we have presented an SDN-based identity management system which will possibly solve the unique identity problem and increase trust in heterogeneous IoT network.

  • 48.
    Sadique, Kazi Masum
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Towards Security on Internet of Things: Applications and Challenges in Technology2018Ingår i: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 141, s. 199-206Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The Internet of Things (IoT) paradigm refers to the network of physical objects or "things" embedded with electronics, software, sensors, and connectivity to enable objects to exchange data with servers, centralized systems, and/or other connected devices based on a variety of communication infrastructures. IoT data collected from different sensors, nodes and collectors are transferred to the cloud over the internet. IoT devices are used by consumers, healthcare, businesses as well as by the governments. It is being forecast that 31 billion IoT devices will be deployed all over the world by the year 2020. As the use of IoT devices is increasing every moment several IoT vulnerabilities are introduced. The results and analysis indicate that massive deployment of IoT with an integration of new technologies are introducing new security challenges in IoT paradigm. In this paper, IoT security challenges and open issues are discussed which provides a ground for future research.

  • 49.
    Walters, Jamie
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Relational Context Proximity Query Language2015Ingår i: Mobile Networks and Management: Revised Selected Papers / [ed] Ramón Agüero et al., Berlin: Springer, 2015, nr 1, s. 277-289Konferensbidrag (Refereegranskat)
    Abstract [en]

    The creation of applications and services realising massive immersive participation require the provisioning of current, relevant and accurate context information. These applications benefit from access to this highly dynamic information in real time. Existing approaches to provisioning context information are limited by their interpretation of context relationships as address book solutions thus limiting the discovering of related entities. We introduce the context proximity query language (CPQL) for querying context related entities on distributed across collections of remote endpoints. As a declarative query language (CPQL) is similar in structure to SQL and describes the relationships between entities as distance functions between their associated context information. We simulate CPQL and show that it offers improvements over existing approaches while scaling well.

  • 50.
    Walters, Jamie
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Adaptive Information Provisioning in Distributed Context Centric Architectures2014Ingår i: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 11, nr 4, s. 10-21Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The provisioning of user context information between service endpoints is central to realizing massive immersive participation on an Internet of Things. This information must in turn be provisioned to endpoints with minimal overhead costs. Where this is achieved through centralized repositories of context information there arises issues of scalability and availability. Where distributed approaches have been proposed, information dissemination has been optimized relative to the underlying network properties. In this paper we extend the Distributed Context Protocol (DCXP) to support subscriptions relative to an entity-application-entity triple, minimizing the number of subscriptions required and through application specific optimization minimize the overall cost of delivering user context information to service endpoints.

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