• DocumentCode
    2112958
  • Title

    Serial Distributed Detection Performance Analysis in Wireless Sensor Networks under Noisy Channel

  • Author

    Yin, Liping ; Wang, Ying ; Yue, Dian-Wu

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we consider the performance of serial distributed detection in wireless sensor networks (WSNs) under the assumption that the local decisions made by sensors are transmitted over noisy channels. Different from the parallel fusion, where the local results are directly sent to the fusion center, in serial fusion, local results are transmitted to the fusion center through multi-hop, short-range communications. We derive a fusion decision rule for serial signal detection, which takes the channel noise into account. And the simulation results show that the performance of serial distributed detection is inferior to that of parallel distributed detection, especially when the number of sensors is large. However, serial distributed detection utilizes short-range, multi-hop transmission, so it can be used as an energy-efficient distributed detection scheme for wireless sensor networks.
  • Keywords
    sensor fusion; signal detection; wireless channels; wireless sensor networks; WSN; fusion decision rule; multihop transmission; noisy channel; parallel distributed detection; serial distributed detection performance analysis; serial signal detection; short-range communication; wireless sensor network; Educational institutions; Energy efficiency; Information science; Performance analysis; Relays; Sensor fusion; Sensor phenomena and characterization; Signal detection; Spread spectrum communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5302524
  • Filename
    5302524