• DocumentCode
    2411814
  • Title

    Multiple Objects Device-Free Passive Tracking Using Wireless Sensor Networks

  • Author

    Xufei Mao ; Shaojie Tang ; Xiang-Yang Li

  • Author_Institution
    Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    5-9 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Object tracking is a main application of wireless sensor networks (WSNs), and has been studied widely. In this work, we study multiple objects tracking problem using WSNs, in which we assume no equipment is carried by the object and the tracking procedure is passive. We first show that without carefully design, Received Signal Strength Indicator (RSSI) and Link Quality Indicator (LQI) are not as effective as claimed for passive detection through our testbed studies. We further propose to use light to track moving objects in WSNs. To our best knowledge, this is the first work to study multiple objects tracking using light sensors and general light sources. We propose a novel probabilistic tracking protocol to track multiple objects. We further design several efficient methods to compute some attributes of the moving objects (like heights, moving speeds etc.).
  • Keywords
    wireless sensor networks; LQI; RSSI; WSN; link quality indicator; moving object tracking; multiple objects device-free passive tracking; multiple objects tracking problem; passive detection; probabilistic tracking protocol; received signal strength indicator; wireless sensor networks; Light sources; Monitoring; Peer to peer computing; Sensors; Target tracking; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2011 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-61284-232-5
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/icc.2011.5962801
  • Filename
    5962801