• DocumentCode
    2796223
  • Title

    Multi-target Tracking Based on Dynamic Cells in Wireless Sensor Networks

  • Author

    Fan, Lin ; Wang, Zhongming ; Wang, Hai

  • Author_Institution
    Comput. Sci. & Technol. Dept., Xi´´an Univ. of Posts & Telecommun., Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    208
  • Lastpage
    211
  • Abstract
    To develop effective multi-target tracking system in wireless sensor networks (WSN), researches have been made on the collaborative signal processing (CSP) model and the load balancing tree(LBA). An event triggering multi-target tracking model based on dynamic cells is brought up. In this paper, the entire region is divided into grids. As a target appeared, the nearest local aggregator(LA) awoke all nodes in adjacent eight grids to compose a cell. Then the cell began tracking target. Multi-cell can tracking multitarget independently and simultaneously. The paper defined main target and sub-target and divided multi-target tracking into three situations: non-intersection targets, intersection targets with partially overlap cell, intersection targets with completely overlap cell. The simulation result proved that the algorithm is timely and effectively.
  • Keywords
    signal processing; target tracking; wireless sensor networks; collaborative signal processing model; completely overlap cell; dynamic cells; event triggering multi-target tracking model; intersection targets; load balancing tree; local aggregator; multitarget tracking systems; nonintersection target; partially overlap cell; wireless sensor networks; Computer science; Knowledge acquisition; Load management; Monitoring; Routing; Signal processing algorithms; Target tracking; Telecommunication traffic; Vehicle dynamics; Wireless sensor networks; WSN; dynamic Cell tracking; events triggering; multi-target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.177
  • Filename
    5362109