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  • 1.
    Bin, Xiao
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahim, Rahmani
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Yuhong, Li
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Edge-based Interoperable Service-driven Information Distribution for Intelligent Pervasive ServicesIn: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589Article in journal (Refereed)
  • 2.
    Fashahid, Syed
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Mobile Backhaul Network Convergence2014In: Proceedings of the 2014 International Conference on Computer Network and Information Science, IEEE Computer Society, 2014, p. 66-71Conference paper (Refereed)
    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.

  • 3.
    Guerrero Rázuri, Javier Francisco
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Moran Cardenas, Antonio
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sundgren, David
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Mizuuchi, Ikuo
    Integration of Artificial Neural Networks and Linear Systems for the Output Feedback Control of Nonlinear Vibration Systems2014In: CCC 2014, the 33rd Chinese Control Conference, IEEE Press, 2014, p. 1850-1855Conference paper (Refereed)
    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.

  • 4.
    Guerrero Rázuri, Javier
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sundgren, David
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Effect of emotional feedback in a decision-making system for an autonomous agent2014In: Advances in Artificial Intelligence - IBERAMIA 2014: Proceedings / [ed] Ana L.C. Bazzan, Karim Pichara, Springer, 2014, p. 613-624Conference paper (Refereed)
    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.

  • 5.
    Hedberg, Hillevi
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Nouri, Jalal
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Hansen, Preben
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Systematic Review of Learning Trough Mobile Augmented Reality2018In: International Journal of Interactive Mobile Technologies (iJIM), ISSN 1865-7923, E-ISSN 1865-7923, Vol. 12, no 3, p. 75-85Article in journal (Refereed)
    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.

  • 6.
    Homem, Irvin
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Improving Distributed Forensics and Incident Response in Loosely Controlled Networked Environments2016In: International Journal of Security and Its Applications, ISSN 1738-9976, Vol. 10, no 1, p. 385-414Article in journal (Refereed)
    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.

  • 7. Hu, Zhuo
    et al.
    Li, Yuhong
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Han, Shengnan
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Time-Scaling Data Generation Method For Internet of Things Simulation2018In: Proceedings of 2018 Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, Institute of Research Engineers and Doctors (IRED) , 2018, p. 34-40Conference paper (Refereed)
    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.

  • 8.
    Kanter, Theo
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Fors, Uno
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Immersive Networking — A Framework for Virtual Environments with Augmented Reality in Human Decision-Making2016In: International Journal of Multimedia and Ubiquitous Engineering, ISSN 1975-0080, Vol. 11, no 6, p. 43-60Article in journal (Refereed)
    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..

  • 9.
    Kanter, Theo
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Immersive IoT in Smart Cities2017In: 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, p. 44-49Conference paper (Refereed)
    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.

  • 10.
    Kanter, Theo
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Li, Yuhong
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Xiao, Bin
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Vehicular Network Enabling Large-Scale and Real-Time Immersive Participation2014In: Internet of Vehicles – Technologies and Services: Proceedings, Springer, 2014, p. 66-75Conference paper (Refereed)
    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.

  • 11.
    Kanter, Theo
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Mahmud, Arif
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Conceptual Framework for Internet of Things’ Virtualization via OpenFlow in Context-aware Networks2013In: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 10, no 6, p. 16-27Article in journal (Refereed)
    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.

  • 12.
    Kanter, Theo
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Walters, Jamie
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sauter, Willmar
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Distributed Immersive Participation as Crowd-Sensing in Culture Events2014In: Journal of Virtual Worlds Research, ISSN 1941-8477, E-ISSN 1941-8477, Vol. 7, no 2Article in journal (Refereed)
    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.

  • 13.
    Li, Yuhong
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    An Information-Centric Approach for Data Dissemination in Vehicular Networks2014In: 2014 International Conference on Connected Vehicles & Expo (ICCVE 2014), IEEE conference proceedings , 2014, p. 888-893Conference paper (Refereed)
    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.

  • 14.
    Li, Yuhong
    et al.
    Beijing University of Posts and Telecommunications, Beijing, China.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Differentiated Context Maintenance and Exchange oriented to Internet of Things2015In: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 12Article in journal (Refereed)
    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.

  • 15. Li, Yuhong
    et al.
    Su, Xiang
    Riekki, Jukka
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A SDN-based architecture for horizontal Internet of Things services2016In: IEEE International Conference on Communications (ICC 2016), IEEE Computer Society, 2016Conference paper (Refereed)
    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.

  • 16. Li, Yuhong
    et al.
    Yang, Yusen
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Su, Xiang
    Riekki, Jukka
    Gap-based Caching for ICN-based Vehicular Networks2016Conference paper (Other academic)
  • 17.
    Mahmud, A
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Deployment of flow-sensors in Internet of Things’ virtualization via OpenFlow2012In: 2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing: Proceedings / [ed] Juan E. Guerrero, IEEE Computer Society, 2012, p. 195-200Conference paper (Other academic)
    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.

  • 18.
    Mahmud, Arif
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Flow-sensor Mobility and Multicast Support in Internet of Things’ Virtualization2012In: 2012 International Conference on ICT Convergence: "Global Open Innovation Summit for Smart ICT Convergence", IEEE Communications Society, 2012, p. 16-22Conference paper (Other academic)
    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.

  • 19. Moran Cardenas, Antonio
    et al.
    Guerrero Rázuri, Javier Francisco
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sundgren, David
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Autonomous Motion of Mobile Robot Using Fuzzy-Neural Networks2013Conference paper (Refereed)
    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.

  • 20. Moran Cardenas, Antonio
    et al.
    Rázuri, Javier G.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Bonet, Isis
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sundgren, David
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Design of High Accuracy Tracking Systems with H Infinite Preview Control2014In: POLIBITS Research Journal on Computer Science and Computer Engineering With Applications, ISSN 1870-9044, Vol. 50, p. 21-28Article in journal (Refereed)
    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.

  • 21. Muthu, Arun
    et al.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rajaram, Dinakaran
    Emulating Trust Zone in Android Emulator with Secure Channeling2013In: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 10, no 5, p. 40-51Article in journal (Refereed)
    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.

  • 22.
    Nevelsteen, Kim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Comparing properties of massively multiplayer online worlds and the Internet of Things2016In: 2016 IEEE Symposium on Computers and Communication (ISCC), IEEE Computer Society, 2016, p. 1-5Conference paper (Refereed)
    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.

  • 23.
    Rahman, Hasibur
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Enabling Distributed Context Entity Discovery for an Internet-of-Things Platform2015In: Proceedings of 2015 SAI Intelligent Systems Conference (IntelliSys), Institute of Electrical and Electronics Engineers (IEEE), 2015Conference paper (Refereed)
    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.

  • 24.
    Rahman, Hasibur
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Supporting Self-Organization with Logical-clustering Towards Autonomic Management of Internet-of-Things2015In: International Journal of Advanced Computer Sciences and Applications, ISSN 2158-107X, E-ISSN 2156-5570, Vol. 6, no 2, p. 24-33Article in journal (Refereed)
    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.

  • 25.
    Rahman, Hasibur
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Enabling distributed intelligence assisted Future Internet of Things Controller (FITC)2018In: Applied Computing and Informatics, ISSN 1578-4487, E-ISSN 2210-8327, Vol. 14, no 1, p. 73-87Article in journal (Refereed)
    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.

  • 26.
    Rahman, Hasibur
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Enabling Scalable Publish/Subscribe for Logical-Clustering in Crowdsourcing via MediaSense2014In: Proceedings of 2014 Science and Information Conference, IEEE Computer Society, 2014, p. 64-71Conference paper (Refereed)
    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.

  • 27.
    Rahman, Hasibur
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Entity Configuration and Context-Aware reasoNer (CAN) towards Enabling an Internet of Things Controller2016In: 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, p. 237-258Chapter in book (Refereed)
    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.

  • 28.
    Rahman, Hasibur
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Multi-Modal Context-Aware reasoNer (CAN) at the Edge of IoT2017In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 109, p. 335-342Article in journal (Refereed)
    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.

  • 29.
    Rahman, Hasibur
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Realising Dynamism in MediaSense Publish/Subscribe Model for Logical-Clustering in Crowdsourcing2014In: International Journal of Advanced Research in Artificial Intelligence, ISSN 2165-4050, Vol. 3, no 11Article in journal (Refereed)
    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.

  • 30.
    Rahman, Hasibur
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    The Role of Mobile Edge Computing Towards Assisting IoT with Distributed Intelligence: A SmartLiving Perspective2018In: Mobile Solutions and Their Usefulness in Everyday Life / [ed] Sara Paiva, Springer, 2018, p. 33-45Chapter in book (Refereed)
    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.

  • 31.
    Rahman, Hasibur
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Persson, Magnus
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Amundin, Stefan
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Reasoning Service enabling SmartHome Automation at the Edge of Context Networks2016In: 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, p. 777-786Conference paper (Refereed)
    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.

  • 32.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Autonomous Cooperative Decision-Making in Massively Distributed IoT via Heterogenous Networks2017In: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, Association for Computing Machinery (ACM), 2017, article id 25Conference paper (Refereed)
    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.

  • 33.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Layering the Internet-of-Things with Multicasting in Flow-sensors for Internet-of-services2015In: International Journal of Multimedia and Ubiquitous Engineering, ISSN 1975-0080, Vol. 10, no 12, p. 37-52Article in journal (Refereed)
    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.

  • 34.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Åhlund, C.
    A self configuring fuzzy Active Queue Management controller in heterogeneous networks2010In: ICT 2010: 2010 17th International Conference on Telecommunications, 2010, p. 634-641Conference paper (Refereed)
    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.

  • 35.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Li, Yuhong
    Eberg, Karl
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stevelind, Marcus
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Mobile Blue Gateway - an Application for Multicasting Data to Populations of Bluetooth Low Energy Sensors for Smart Community Sensing2017In: Proceedings of the Second International Conference on Internet of things and Cloud Computing, Association for Computing Machinery (ACM), 2017Conference paper (Refereed)
    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.

  • 36.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Li, Yuhong
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Scalable Distriubuted Ledger for Internet of Things based on Edge Computing2018In: Proceedings of 2018 Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, Institute of Research Engineers and Doctors (IRED) , 2018, p. 41-45Conference paper (Refereed)
    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.

  • 37.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahman, Hasibur
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Network traffic efficiency analysis for logical clustering of flow-sensors2013In: International Journal of Advancements in Computing Technology (IJACT), ISSN 2005-8039, Vol. 5, no 13, p. 1-13Article in journal (Refereed)
    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.

  • 38.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahman, Hasibur
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    On Performance of Logical-Clustering of Flow-Sensors2013In: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 10, no 5, p. 1-13Article in journal (Refereed)
    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.

  • 39.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahman, S. M. Hasibur
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Context‐Based Logical Clustering of Flow‐Sensors ‐ Exploiting HyperFlow and Hierarchical DHTs2013In: RNIS: Research Notes in Information and Service Sciences, ISSN 2287-1934, Vol. 14, p. 721-728Article in journal (Refereed)
    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.

  • 40.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Åhlund, Christer
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Design of active queue management for robust control on access router for heterogeneous networks2011In: EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, E-ISSN 1687-1499, article id 946498Article in journal (Refereed)
  • 41. Reza Faragardi, Hamid
    et al.
    Fotouhi, Hossein
    Nolte, Thomas
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Cost Efficient Design of a Multi-Sink Multi-Controller WSN in a Smart Factory2017In: 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, p. 594-602Conference paper (Refereed)
    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.

  • 42.
    Rázuri, Javier G.
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sundgren, David
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Moran, Antonio
    Bonet, Isis
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Speech emotion recognition in emotional feedbackfor Human-Robot Interaction2015In: International Journal of Advanced Research in Artificial Intelligence (IJARAI), ISSN 2165-4050, E-ISSN 2165-4069, Vol. 4, no 2, p. 20-27Article in journal (Refereed)
    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.

  • 43.
    Rázuri, Javier G.
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sundgren, David
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Moran Cardenas, Antonio
    Automatic Emotion Recognition through Facial Expression Analysis in Merged Images Based on an Artificial Neural Network2013In: 2013 12th Mexican International Conference on Artificial Intelligence (MICAI): Proceedings, IEEE Computer Society, 2013, p. 85-96Conference paper (Refereed)
    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.

  • 44.
    Sadique, Kazi Masum
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Johannesson, Paul
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Towards Security on Internet of Things: Applications and Challenges in Technology2018In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 141, p. 199-206Article in journal (Refereed)
    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.

  • 45.
    Walters, Jamie
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Relational Context Proximity Query Language2015In: Mobile Networks and Management: Revised Selected Papers / [ed] Ramón Agüero et al., Berlin: Springer, 2015, no 1, p. 277-289Conference paper (Refereed)
    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.

  • 46.
    Walters, Jamie
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Adaptive Information Provisioning in Distributed Context Centric Architectures2014In: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 11, no 4, p. 10-21Article in journal (Refereed)
    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.

  • 47.
    Walters, Jamie
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Establishing Multi-Criteria Context Relations Supporting Ubiquitous Immersive Participation2013In: International Journal of Ad Hoc, Sensor & Ubiquitous Computing, ISSN 0976-2205, E-ISSN 0976-1764, Vol. 4, no 2, p. 59-78Article in journal (Refereed)
    Abstract [en]

    Immersive Participationentails massive participatory activities in the Internetengaging people, places and objects. This ispremised on the existence of an Internet of Things infrastructure supporting applications and services with the same richness of experience as the World Wide Web. This in turn presupposes the existence of models for establishing and maintaining context relations. Where these models do exist, they impose a limited interpretation of context relations in the presence of the inherent heterogeneous and dynamic characteristics of the supporting information. In this paper we introduce an approach towards establishing context relations through the use of an improved context relational model permitting a wider, more complete range of application specific scenarios. Additionally, wederive a measure of context proximity that considers the situation, attributes, relations, accuracy and heterogeneity of both the underlying information and the vast array of requirements for metrics supporting application problem domains

  • 48.
    Walters, Jamie
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Supporting Context-Centric Relationships in Heterogeneous Environments2013In: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 10, no 5, p. 25-34Article in journal (Refereed)
    Abstract [en]

    Massive Immersive Participation is enriched through the use of context information describing the dynamic states and relations among people places and things. This in turn mandates the creation of methods and models for establishing and supporting these relationships. Previous approaches are undermined by their limited interpretation of context centric relations and subsequently do not offer support for multi-criteria relationships. In this paper, we extend on our previous work on establishing multi-criteria context relationships, to adding the support required for maintaining these relationships over heterogeneous and dynamic context information. We introduce a query language that supports an extended publish-subscribe approach and define solutions for maintaining, evaluating and adjusting these relationships while minimizing overall costs.

  • 49.
    Xiao, Bin
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    An Ontology-based Problem-logic Driven Approach towards the Activity Awareness for Elderly Care2015In: International Journal of Multimedia and Ubiquitous Engineering, ISSN 1975-0080, Vol. 10, no 4, p. 31-42Article in journal (Refereed)
    Abstract [en]

    The same activity under different user situations in the elderly care system may lead to different intelligent system response, since user needs vary with the changing situations. Activity awareness (AA) emphasizes that systems intelligently respond to user needs by aware the user-performed activities which is denoted and comprehended according to various user situations. But most current AA technics use similar patterns retrieved from the growing historical data, neglecting the situation change, called dataset driven. Thus, an aptly approach is needed in support of AA systems to handle various activity denotations in different user situations. Responding to the problem, this paper proposes an Ontology-based Problem-logic driven approach (OPL) to enhance the AA system by denoting user activities with the problem logic according to user-oriented denoted problem domains, where the AA system can seamlessly integrate with inferring for intelligent system response. Specifically, denoted problem domain and logic are proposed to support the OPL concepts, while activity graph is formed to support the intelligent system response based on the annotated problem logic. With the OPL, systems can directly target at the changing situations with rule-based inferring. A case study is performed upon the scenario retrieved from a European elderly care project, where a proof-of-concept prototype is established to confirm the validity of the OPL approach.

  • 50.
    Xiao, Bin
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Constructing Context-centric Data Objects to Enhance Logical Associations for IoT Entities2015In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 52, p. 1095-1100Article in journal (Refereed)
    Abstract [en]

    Entities in Internet of Things (IoT) need intelligent associations to allow a flexible and dynamic system reaction towards varying user situations. Purely data-oriented association methods (e.g., data-mining, machine-learning, etc.) are limited in deduction from existing associations. Also such data-oriented methods are limited in accuracy for working with small-scale datasets (e.g., working with patterns retrieved from historical data), outputting associations based on statistics rather than logic. Moreover, existing semantic technologies (ontological-oriented or rule-oriented) are facing with either flexibility or dynamicity challenges to discover and maintain the associations. This paper proposes an alternative technique of semantically constructing context-centric data objects based on service logics for logical associations, which enables an event net based on association nets adapting for the changing situations (called context-centric). A proof-of-concept implementation is carried out based on a vehicle planning scenario to validate the data construction technique. Comparing to previous work, this technique possesses advantages of flexibility and dynamicity for entity associations based on service logics.

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