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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. Dobslaw, Felix
    et al.
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Walters, Jamie
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    An Object-Oriented Model in Support of Context Aware Mobile Applications2010In: Mobile Wireless Middleware, Operating Systems, and Applications / [ed] Ying Cai, Thomas Magedanz, Minglu Li, Jinchun Xia, Carlo Giannelli, Berlin Hedielberg: Springer Verlag , 2010Conference paper (Refereed)
    Abstract [en]

    Intelligent and context-aware mobile services require users and applications to share information and utilize services from remote locations. Thus, context information from the users must be structured and be accessible to applications running in end-devices. In response to this challenge, we present a shared object-oriented meta model for a persistent agent environment. The approach enables agents to be context aware facilitating the creation of ambient intelligence demonstrated by a sensor-based scenario. The agents are context-aware as agent actions are based upon sensor information, social information, and the behavior of co-agents.

  • 3. Forsström, Stefan
    et al.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Continuously Changing Information on a Global Scale and its Impact for the Internet-of-Things2014In: Journal on spesial topics in mobile networks and applications, ISSN 1383-469X, E-ISSN 1572-8153, Vol. 19, no 1, p. 33-44Article in journal (Refereed)
    Abstract [en]

    This article analyzes the challenges of supporting continual changes of context information in Internet-of-Things applications. These applications require a constant flow of continuously changing information from sensor based sources in order to ensure a high quality-of-experience. However, an uncontrolled flow between sources and sinks on a global scale wastes resources, such as computational power, communication bandwidth, and battery time. In response to these challenges we present a general approach which focuses on four layers where we provide a proposed solution to each layer. We have realized the general model into a proof-of-concept implementation running on devices with limited resources, where we can moderate the information exchange based on relevance and sought after quality-of-experience by the applications. In conclusion, we evaluate our solution and present a summary of our experiences regarding the impact of continuously changing information on the Internet-of-Things.

  • 4. Forsström, Stefan
    et al.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Enabling ubiquitous sensor-assisted applications on the internet-of-things2014In: Personal and Ubiquitous Computing, ISSN 1617-4909, E-ISSN 1617-4917, Vol. 18, no 4, p. 977-986Article in journal (Refereed)
    Abstract [en]

    The increase in sensor-assisted applications such as sensing campaigns and interactions in large-scale populations put new demands on seamless sharing of sensor information on a global scale. Existing support is limited due to simplified information models reflecting narrow application scenarios and poorly scaling architectures. In response to this, we present an application architecture for pervasive internet-of-things applications which circumvents these limitations. Our architecture enables applications to utilize information from sensors and wireless sensor networks via a peer-to-peer overlay. The overlay shares sensor information in an generic information model, which is extensible and thus enables intelligent application behavior. Our evaluation of the architecture indicates that it supports the sharing of sensor information on a global scale in sensor-assisted applications, with low response times. Finally, we evaluate the feasibility of running such applications in end devices with limited resources in a sensor-assisted application prototype.

  • 5. Forsström, Stefan
    et al.
    Kardeby, Victor
    Walters, Jamie
    Jennehag, Ulf
    Österberg, Patrik
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    MediaSense - an Internet of Things Platform for Scalable and Decentralized Context Sharing and Control2012In: ICDT 2012, The Seventh International Conference on Digital Telecommunications / [ed] Eugen Borcoci, Petre Dini, International Academy, Research and Industry Association (IARIA), 2012, p. 27-32Conference paper (Refereed)
    Abstract [en]

    Research in Internet-of-Things infrastructures has so far mainly been focused on connecting sensors and actuators to the Internet, while associating these devices to applications via web services. This has contributed to making the technology accessible in areas such as smart-grid, transport, health, etc. These early successes have hidden the lack of support for sensor-based applications to share information and limitations in support for applications to access sensors and actuators globally. We address these limitations in a novel open-source platform, MediaSense. MediaSense offers scalable, seamless, real-time access to global sensors and actuators via hetero- geneous network infrastructure. This paper presents a set of requirements for Internet-of-Things applications support, an overview of our architecture, and application prototypes created in order to verify the approach in a test bed with users connected from heterogeneous networks.

  • 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.
    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..

  • 8.
    Kanter, Theo
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Forsström, Stefan
    Kardeby, Victor
    Walters, Jamie
    Österberg, Patrik
    Pettersson, Stefan
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ubiquitous Mobile Awareness from Sensor Networks2010In: Enabling context-aware web services / [ed] Quan Z. Sheng, Jian Yu, Schahram Dustdar, Boca Raton: CRC Press, 2010, p. 449-468Chapter in book (Refereed)
    Abstract [en]

    Users require applications and services to be available everywhere, enabling users to focus on what is important to them. Therefore, context information from users (e.g., spatial data, preferences, available connectivity and devices, etc.) needs to be accessible to systems that deliver services via a heterogeneous infrastructure. We present a novel approach to support ubiquitous sensing and availability of context to services and applications. This approach offers a scalable, distributed storage of context derived from sensor networks wirelessly attached to mobile phones and other devices. The support handles frequent updates of sensor information and is interoperable with presence services in 3G mobile systems, thus enabling ubiquitous sensing applications. We demonstrate these concepts and the principle operation in a sample ubiquitous mobile awareness service. The importance of this contribution, in comparison to earlier work, lies in the availability of real-time ubiquitous sensing to both applications on the Internet as well as applications in mobile systems.

  • 9.
    Kanter, Theo
    et al.
    Mittuniversitetet.
    Kardeby, Victor
    Forsström, Stefan
    Walters, Jamie
    Scenarios, Research Issues, and Architecture for Ubiquitous Sensing2010In: Mobile Networks and Management: Second International ICST Conference, MONAMI 2010, Santander, Spain, September 22-24, 2010, Revised Selected Papers / [ed] Kostas Pentikousis et al., 2010, p. 285-297Conference paper (Refereed)
    Abstract [en]

    This paper describes research issues and work-in-progress concerning ubiquitous sensing. We present scenarios where the current approaches are deficient in addressing the needs for ubiquitous sensing in services and applications on the Future Internet, involving the massive sharing of information from sensors via heterogeneous networks. We propose an information-centric architecture for real-time ubiquitous sensing which capitalizes on the proposed locator/identifier split, thus extending the Network of Information (NetInf) approach. From this we identify the challenges for which we present work-in-progress within the framework of the EU-funded MediaSense project. Firstly, we integrate sensors as addressable objects, exposed by means of sensor gateways and relocatable abstract interfaces. Sensor information is thus made available to applications solely based on identity. Secondly, sensor information is made available in a distributed data model towards searching and browsing. Finally, we evaluate the effectiveness of the architecture in proof-of-concept applications for intelligent commuting, environmental monitoring and seamless media transfer, utilizing two different sensor platforms.

  • 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. Kardeby, Victor
    et al.
    Forsström, Stefan
    Walters, Jamie
    Österberg, Patrik
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    The updated mediasense framework2010In: Proceedings of the 2010 Fifth International Conference on Digital Telecommunications, 2010, p. 48-51Conference paper (Refereed)
    Abstract [en]

    Mobile telecommunication is evolving rapidly. People no longer only communicate with each other regardless of time and place, but also share other information that is important for the tasks with which they are involved. In response to this growing trend, the Media Sense framework addresses the intelligent delivery of any information to any host, anywhere, based on context-aware information regarding personal preferences, presence information, and sensor values. The focus of this paper is the overall framework, the handling of user profiles, management of context information, real-time distribution and proof of concepts.

  • 14.
    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.

  • 15.
    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.

  • 16. 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.

  • 17. 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)
  • 18.
    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.

  • 19.
    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.

  • 20.
    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.

  • 21.
    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.

  • 22.
    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.

  • 23.
    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.

  • 24.
    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.

  • 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.
    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.

  • 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.
    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.

  • 27.
    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.

  • 28.
    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.

  • 29.
    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.

  • 30.
    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.

  • 31.
    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.

  • 32.
    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.

  • 33.
    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)
  • 34.
    Walters, Jamie
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Mid Sweden University.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Context-Relational Approach for the Internet of Things2012In: EMERGING 2012, The Fourth International Conference on Emerging Network Intelligence / [ed] Michael D. Logothetis, Tulin Atmaca, International Academy, Research and Industry Association (IARIA), 2012, p. 49-55Conference paper (Refereed)
    Abstract [en]

    Context-centric applications and services are premised on the ability to readily respond to changes in context. Centralized approaches to enabling this are undermined by their dependencies on DNS naming services while decentralized approaches using DHT variants have been centred on the provisioning of the underlying context information, creating information-centric rather than context-centric solutions. A dynamic Internet of Things mandates a new paradigm; approaches storing, discovering and associating context entities relevant to their context state. In this paper, we explore such a paradigm, and with the implementation of a prototype, show the advantages of moving towards the notion of context-state centricity on the Internet of Things.

  • 35.
    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.

  • 36.
    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.

  • 37.
    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

  • 38.
    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.

  • 39.
    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.

  • 40.
    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.

  • 41.
    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.
    Generic Distributed Sensing in Support of Context Awareness in Ambient Assisted Living2014In: Multimedia and Ubiquitous Engineering / [ed] Park, J. J.; Chen, S. C.; Gil, J. M.; Yen, N. Y., Springer Berlin/Heidelberg, 2014, p. 99-107Conference paper (Refereed)
    Abstract [en]

    Researches in ambient assisted living have so far faced three important challenges: (1) Lack of a comprehensive approach to capture user needs that are generic; i.e., not limited to specific events, but as generic related to the user. (2) Lack of a highly flexible and scalable platform for the distributed sharing and processing of context between nodes in IoT networks. (3) Increased amount of communication and devices with sensors participating in the acquisition, processing and sharing of context further challenges both computation capability and storage capacity of the system. In this paper, we address these limitations and present novel support, applied in a system for remote assistance of elderly. The support comprehensively retrieves user needs from generic context, via a scalable overlay providing increment of processing capability and storage. Further, the support self-organizes entities into generic context from distributed sensing, using the Dependent Context Pattern (DCP) based on the Context Virtualizing Platform (CVP).

  • 42.
    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.
    Logical interactions for heterogeneous IoT entities via virtual world mirrors in support of Ambient Assisted Living2016In: Journal of Ambient Intelligence and Smart Environments, ISSN 1876-1364, E-ISSN 1876-1372, Vol. 8, no 5, p. 565-580Article in journal (Refereed)
    Abstract [en]

    In Ambient Assisted Living (AAL), as an important applied area of Internet of Things (IoT) technology, logical entity interaction establishes an intelligent virtual world in which heterogeneous entities are emulated by object-oriented mirrors through tightly cooperating sensors and actuators from different spaces in the real world; this enables the system to generate intelligent services to support human behaviour. However, until now, few researchers have focused on enabling interactions between heterogeneous IoT entities for AAL services. Further, in relevant studies regarding semantic entity interactions, researchers have mainly focused on enabling semantic interactions between sensors (rather than integral entities) for the purpose of coordinating and managing data resources, where tight collaborations between sensors and actuators are not emphasised. Hence, the system capability of initialising intelligent service to enhance human experience has not been properly emphasised, to date. This paper discusses enabling logical object-oriented IoT entity interactions to enrich AAL services for humans through the creation of mirrors in the virtual world emulating the attributes and behaviours of heterogeneous entities via cooperating sensors and actuators in the real world. This paper introduces the Entity Device Collocating (EDC) Platform to globally locate and retrieve sensors and actuators respectively adhering to the attributes and behaviours of integral mirrors in the virtual world; this is intended to enable the interoperability between virtual and real worlds. Interactions are created upon entity mirrors mapping entities from the physical world to the virtual world, during which interactions continue to evolve based on the service logics. The proposed technique is applied to a typical AAL case of smart pill-ingestion, where a demo is implemented for verification. Comparing with relevant research, the proposed technique contributes by introducing a flexible and scalable IoT entity interaction method targeting AAL to address human needs.

  • 43.
    Xiao, Bin
    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
    Gillblad, Daniel
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Intelligent Data-Intensive IoT: A Survey2016In: 2016 2nd IEEE International Conference on Computer and Communications (ICCC): Proceedings, IEEE Computer Society, 2016, p. 2362-2368Conference paper (Refereed)
    Abstract [en]

    The IoT paradigm proposes to connect entities intelligently with massive heterogeneous nature, which forms an ocean of devices and data whose complexity and volume are incremental with time. Different from the general big data or IoT, the data-intensive feature of IoT introduces several specific challenges, such as circumstance dynamicity and uncertainties. Hence,intelligence techniques are needed in solving the problems brought by the data intensity. Until recent, there are many different views to handle IoT data and different intelligence enablers for IoT, with different contributions and different targets. However, there are still some issues have not been considered. This paper will provide a fresh survey study on the data-intensive IoT issue. Besides that, we conclude some shadow issues that have not been emphasized, which are interesting for the future. We propose also an extended big data model for intelligent data-intensive IoT to tackle the challenges.

  • 44.
    Xiao, Bin
    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
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Edge-based interoperable service-driven information distribution for intelligent pervasive services2017In: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589, Vol. 40, p. 359-381Article in journal (Refereed)
    Abstract [en]

    Internet of Things (IoT)-based Intelligent Pervasive Service (IPS) systems face increasing pressure from the massive amounts of heterogeneous data generated; the heterogeneity hinders interoperability between data resources and IPSs, making data sharing inefficient and making it difficult to satisfy the needs and fulfill requirements of the IPSs. In response, this article proposes a method of interoperable service-driven information distribution on the edge side to enhance the service-level interoperability with feature-level interoperability by self-adapting data sharing according to the service needs, which will also help to release incremental data pressure and provide better data privacy by conducting service-driven and relevance-based data sharing.

  • 45. Xue, Haoyue
    et al.
    Li, Yuhong
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo G.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Xue, Haoyue
    A Mechanism for Mitigating DoS attack in Information-Centric Networks2017In: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, Association for Computing Machinery (ACM), 2017, article id 26Conference paper (Refereed)
    Abstract [en]

    Information-Centric Networking (ICN) 1 is a significant networking paradigm for the Internet of Things, which is an information-centric network in essence. The ICN paradigm owns inherently some security features, but also brings several new vulnerabilities. The most significant one among them is Interest flooding, which is a new type of Denial of Service (DoS) attack, and has even more serious effects to the whole network in the ICN paradigm than in the traditional IP paradigm. In this paper, we suggest a new mechanism to mitigate Interest flooding attack. The detection of Interest flooding and the corresponding mitigation measures are implemented on the edge routers, which are directly connected with the attackers. By using statistics of Interest satisfaction rate on the incoming interface of some edge routers, malicious name-prefixes or interfaces can be discovered, and then dropped or slowed down accordingly. With the help of the network information, the detected malicious name-prefixes and interfaces can also be distributed to the whole network quickly, and the attack can be mitigated quickly. The simulation results show that the suggested mechanism can reduce the influence of the Interest flooding quickly, and the network performance can recover automatically to the normal state without hurting the legitimate users.

1 - 45 of 45
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