• DocumentCode
    2035259
  • Title

    Distributed location detection in wireless sensor networks

  • Author

    Xue Zhang ; Tepedelenlioglu, Cihan ; Banavar, Mahesh ; Spanias, A.

  • Author_Institution
    SenSIP Center, Arizona State Univ., Tempe, AZ, USA
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    428
  • Lastpage
    432
  • Abstract
    A distributed location detection problem in wireless sensor networks (WSNs) with M anchors and one node is considered in this paper. In the presence of the transmitting node at a known location, each anchor receives a noisy signal in the presence of node. In the absence of the node, the anchors receive only noise. Each anchor makes a decision as to whether the node is present or not by using a Neyman-Pearson detector. The bit denoting the decision is transmitted to a fusion center (FC). If an anchor detects the node, a bit “1” will be sent; otherwise, a bit “0” will be sent. The FC will count the number of “1”s and “0”s, and declares the node present if it receives at least K “1”s from the anchors, where K ≤ M is a design parameter. We also consider the case of detecting a node in a known region, and detecting one node of interest with multiple interfering nodes. In comparison to the centralized location detection scheme, the distributed scheme benefits from both time and energy efficiency. Simulation results show that the choice of K depends on the requirement of the overall probability of false alarm.
  • Keywords
    sensor placement; wireless sensor networks; Neyman-Pearson detector; WSNs; centralized location detection scheme; distributed location detection problem; energy efficiency; false alarm probability; fusion center; multiple interfering nodes; noisy signal; wireless sensor networks; Delay effects; Estimation; Probability density function; Simulation; Testing; Time measurement; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2013 Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    978-1-4799-2388-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2013.6810312
  • Filename
    6810312