• DocumentCode
    579872
  • Title

    Multiple Target Tracking and Data Association in Wireless Sensor Network

  • Author

    Parmar, Palak ; Zaveri, Mukesh

  • Author_Institution
    Dept. of Comput. Eng., S.V. Nat. Inst. of Technol., Surat, India
  • fYear
    2012
  • fDate
    3-5 Nov. 2012
  • Firstpage
    158
  • Lastpage
    163
  • Abstract
    Target tracking is one of the most important applications in the field of wireless sensor networks. In this paper we have explored the problem of tracking multiple targets through sensor field. A number of sensor nodes are scattered in a region to detect the target. Multiple targets tracking (MTT) is more challenging than single target tracking because of different targets moving in different directions, speed variations and frequent connectivity failures of low powered sensor nodes. We have used clustering algorithm, which organizes the sensor in a wireless sensor network to form cluster. For the problem of data association arising in multiple targets tracking in the cluttered environment we have used Munkres algorithm. Through our proposed algorithm we have evaluated the performance using varying number of targets and clutters with linear filter. We have evaluated the time for each simulation, evaluated the energy performance through throughput and root mean square error during the data association using different trajectories.
  • Keywords
    Kalman filters; mean square error methods; pattern clustering; sensor fusion; target tracking; wireless sensor networks; Kalman filter; Munkres algorithm; clustering algorithm; data association; energy performance evaluation; linear filter; multiple target tracking; root mean square error; wireless sensor network; Algorithm design and analysis; Clustering algorithms; Clutter; Kalman filters; Target tracking; Trajectory; Wireless sensor networks; Clustering; Data Association; Energy efficiency; Kalman Filter; Multiple target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
  • Conference_Location
    Mathura
  • Print_ISBN
    978-1-4673-2981-1
  • Type

    conf

  • DOI
    10.1109/CICN.2012.152
  • Filename
    6375092