• DocumentCode
    3255637
  • Title

    Routing for Emitter/Reflector Signal Detection in Wireless Sensor Network Systems

  • Author

    Yang Yang ; Blum, Rick S.

  • Author_Institution
    Lehigh Univ., Bethlehem
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    4919
  • Lastpage
    4924
  • Abstract
    In this paper, we consider energy-efficient routing for detection in wireless sensor networks (WSNs). Energy-efficient routing for WSNs has been intensely studied recently, but routing for signal detection in WSNs has not attracted much attention. Moreover, we are not aware of any previous work on routing for detection in WSNs that specifically considers the Neyman-Pearson criterion which is the most accepted metric for radar, sonar and related signal detection problems. By deploying a simple but illustrative model for target detection in WSNs, we formulate a problem of energy-efficient routing for signal detection under the Neyman-Pearson criterion. We propose a routing metric which aims for a route with the maximum mean detection-probability-to-energy ratio, and describe methods for solving the resulting optimization problem. This proposed metric, striving for a balance between the consumed energy and detection performance, is effective for finding the optimal routing that values such an energy-detection tradeoff.
  • Keywords
    optimisation; signal detection; telecommunication network routing; wireless sensor networks; Neyman-Pearson criterion; WSN; energy-efficient routing; mean detection-probability-to-energy ratio; optimization; signal detection; wireless sensor network; Communications Society; Energy efficiency; Object detection; Peer to peer computing; Radar detection; Routing; Signal detection; Sonar detection; Sonar measurements; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2007. ICC '07. IEEE International Conference on
  • Conference_Location
    Glasgow
  • Print_ISBN
    1-4244-0353-7
  • Type

    conf

  • DOI
    10.1109/ICC.2007.812
  • Filename
    4289483