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    2. Technische Fakultät
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    Friedrich-Alexander-Universität Lehrstuhl für Informatik 7 CS7
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    4. p2p4wsn – Efficient Data Management in Mobile Sensor Networks using Peer-to-Peer Technologies

    p2p4wsn – Efficient Data Management in Mobile Sensor Networks using Peer-to-Peer Technologies

    Bereichsnavigation: Forschung
    • Quality-of-Service
    • Connected Mobility
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    • Frühere Projekte
      • A⁵: Entwicklungsmethode für Fahrerassistenzsysteme auf Basis einer Domänenspezifischen Sprache
      • ACOOWEE – Activity Oriented Programming of Wireless Sensor Networks
      • ALF: Autonomous Localization Framework
      • Analysemethoden für nicht-Markowsche Modelle
      • BioNeting – Bio-inspired Networking
      • CoCar – Cooperative Cars
      • Data Quality and the Control of Automotive Manufacturing
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      • Dienstgütegarantien für Ethernet in der industriellen Kommunikation
      • e-NUE: Co-Simulation elektrifizierter & kommunikationsfähiger Fahrzeuge
      • Energiesystemanalyse Bayern
      • Formale Verifikation und Validierung der virtuellen Absicherung komplexer Fahrzeugsicherheitsfunktionen
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      • MaTeLo (Markov Test Logic)
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      • Modeling of External and Internal Impact Factors on the Performance of Wireless Local Area Networks
      • Modellunterstützung beim Entwurf, Test und Monitoring von Bildsystemarchitekturen
      • monk-it – Efficient distributed monitoring, attack detection, and event correlation
      • Nebenläufigkeit in zeiterweiterten Benutzungsmodellen zum Test im Automotivebereich
      • p2p4wsn – Efficient Data Management in Mobile Sensor Networks using Peer-to-Peer Technologies
      • Pal-Grid: Ein Umfassendes Simulationsframework für das Palästinensische Stromnetz
      • Privatsphäre in Fahrzeugnetzen
      • ProHTA: Prospective Assessment of Healthcare Technologies
      • Q.E.D. (QoS Enhanced Development Using UML2.0 and TTCN-3)
      • Quality of Service of Networked Embedded Systems
      • Requirements oriented testing with Markov chain usage models in the automotive domain
      • ROSES – Robot Assisted Sensor Networks
      • Security and Quality of Service and Aspects in ZigBee-based Wireless Communication
      • Self-organization of SN-MRS systems
      • Sensitivity Analysis of Queueing Networks
      • Sichere intelligente Mobilität – Testfeld Deutschland
      • SkyNet – Communicating Paragliders
      • Smart Grid Dienste
      • Smart Grid Solar
      • Software-in-the-Loop Simulation and Testing of Highly Dependable Distributed Automotive Applications
      • Support for inter-domain routing and data replication in virtual coordinate based networks
      • SWARM (Storage With Amply Redundant Megawatt)
      • Telematics Services in Hybrid Networks
      • Transmission of Safety-Relevant Sensor Data in Intra-Car Communication Systems
      • Veins 1.0 – Vehicles in Network Simulation
      • Web Cluster Laboratory
      • WinPEPSY-QNS - Performance Evaluation and Prediction System for Queueing Networks

    p2p4wsn – Efficient Data Management in Mobile Sensor Networks using Peer-to-Peer Technologies

    p2p4wsn-logo

    Projektbeschreibung

    The primary research goals are the integration of mechanisms and methodologies learnt from peer-to-peer research in the field of sensor networks. It appears obvious that several technologies developed for peer-to-peer systems can be directly applied to the open issues in multi-hop ad hoc sensor networks because the primary structure of both network types is identical. Peer-to-peer networks try to build an overlay structure on existing networks. Using this overlay network, new communication paradigms can be applied and special hardware and software required for interconnecting single nodes in the physical structure are hidden from the applications point of view. The primary goals of peer-to-peer systems were the allocation and distributed utilization of available resources such as processing power and data storage.
    The figure shows the principles of the intended construction. The physical sensor network is mapped to an overlay network as described in the peer-to-peer research area. At this level, task selection, data location lookup, and data forwarding is optimized. Finally, the single operations such as store and forward are mapped to lower level functionality.
    In the proposed research plan, the primary focus is on task allocation, data storage, data aggregation, and data transport in multi-hop ad hoc networks.
    The lessons learnt in peer-to-peer research should be applied to the field of sensor networks and embedded systems. Besides the described similarities between both research areas, the main difference is the problem of low power resources in typical sensor networks. Therefore, the algorithms must be analyzed and possibly reconstructed with the power consumption in mind.
    The final objective is to develop methodologies for task allocation and data management which are very efficient in terms of speed, adaptability, and power consumption.

    Projektdauer

      2006-04-01 – 2009-12-31

    Projektmitglieder

    • Dr.-Ing. Abdalkarim Awad
    • PD Dr.-Ing. habil. Falko Dressler

    Förderer

    • DAAD

    Verwandte Publikationen

    1. Falko Dressler, Abdalkarim Awad, Reinhard German und Mario Gerla, „Enabling Inter-Domain Routing in Virtual Coordinate Based Ad Hoc and Sensor Networks,“ Proc. of 15th ACM Annual Intern. Conf. on Mobile Computing and Networking, Beijing, China, September 2009
    2. Abdalkarim Awad, Reinhard German und Falko Dressler, „Efficient Service Discovery in Sensor Networks using VCP“, Proceedings of 15th ACM Annual Intern. Conf. on Mobile Computing and Networking, Beijing, China, September 2009
    3. Abdalkarim Awad, Reinhard German und Falko Dressler, „Efficient Routing and Service Discovery in Sensor Networks using Virtual Cord Routing,“ Proc. of 7th ACM Intern. Conf. on Mobile Systems, Applications, and Services, Kraków, Poland, Juni 2009
    4. Abdalkarim Awad, Lei ‚Ray‘ Shi, Reinhard German und Falko Dressler, „Advantages of Virtual Addressing for Efficient and Failure Tolerant Routing in Sensor Networks,“ Proc. of 6th IEEE/IFIP Conf. on Wireless On demand Network Systems and Services, Snowbird, UT, USA, pp. 111-118, Februar 2009
    5. Abdalkarim Awad, Christoph Sommer, Reinhard German und Falko Dressler, „Virtual Cord Protocol (VCP): A Flexible DHT-like Routing Service for Sensor Networks,“ Proc. of 5th IEEE Intern. Conf. on Mobile Ad-hoc and Sensor Systems, Atlanta, GA, USA, pp. 133-142, September 2008
    6. Abdalkarim Awad, Wei Xie, Eugen Rose, Reinhard German und Falko Dressler, „Distributed Data Management in Sensor Networks using miniDB / miniSQL,“ Proc. of 4th IEEE/ACM Intern. Conf. on Distributed Computing in Sensor Systems, Santorini Island, Greece, pp. 27-28, Juni 2008
    7. Abdalkarim Awad, Reinhard German und Falko Dressler, „P2P-based Routing and Data Management using the Virtual Cord Protocol (VCP),“ Proc. of 9th ACM Intern. Symposium on Mobile Ad Hoc Networking and Computing, Hong Kong, China, pp. 443-444, 2008  
    8. Sebastian Dengler, Abdalkarim Awad und Falko Dressler, „Sensor/Actuator Networks in Smart Homes for Supporting Elderly and Handicapped People,“ Proc. 21st IEEE Int. Conf. on Advanced Information Networking and Applications: First International Workshop on Smart Homes for Tele-Health, Niagara Falls, Ontario, Canada, pp. 863-868, Mai 2007
    Lehrstuhl Informatik 7 (Rechnernetze und Kommunikationssysteme)
    Friedrich-Alexander-Universität Erlangen-Nürnberg

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