• DocumentCode
    3072663
  • Title

    Power Allocation and Node Clustering for Distributed Detection in IR-UWB Sensor Networks

  • Author

    Bielefeld, Daniel ; Fabeck, Gernot ; Mathar, Rudolf

  • Author_Institution
    Inst. for Theor. Inf. Technol., RWTH Aachen Univ., Aachen, Germany
  • fYear
    2009
  • fDate
    20-23 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In wireless sensor networks, the limited energy of the nodes should be utilized in such a way that the performance measure of the sensing application is optimized. In this paper, power-aware design of IR-UWB sensor networks for distributed signal detection is discussed. The design approach consists of two parts which aim at minimizing the global probability of detection error. First, an application-specific node clustering algorithm is performed. Based on the generated topology a resource allocation scheme adapted to distributed detection is carried out. It is based on both, information from the network topology and individual sensor detection quality. Numerical results indicate significant performance gains for sensor networks with realistic resource constraints.
  • Keywords
    pulse position modulation; signal detection; telecommunication network topology; wireless sensor networks; IR-UWB sensor networks; application-specific node clustering algorithm; distributed signal detection; individual sensor detection; network topology; power allocation; wireless sensor networks; Clustering algorithms; Energy measurement; Information technology; Network topology; Power generation; Power measurement; Resource management; Signal design; Transceivers; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th
  • Conference_Location
    Anchorage, AK
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-2514-3
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2009.5379086
  • Filename
    5379086