• DocumentCode
    2397523
  • Title

    A Monte Carlo Method for Mobile Target Counting

  • Author

    Wu, Dengyuan ; Cheng, Xiuzhen ; Chen, Dechang ; Cheng, Wei ; Chen, Biao ; Zhao, Wei

  • Author_Institution
    Dept. of Comput. Sci., George Washington Univ., Washington, DC, USA
  • fYear
    2011
  • fDate
    20-24 June 2011
  • Firstpage
    750
  • Lastpage
    759
  • Abstract
    This paper addresses the problem of target counting based on the Monte Carlo simulation. We rely on an Accept-Reject process to guide the placement of virtual targets in a virtual sensor field, which has exactly the same sensor layout as the real one. The objective of this construction is to generate a virtual target energy landscape whose shape is close enough to an energy landscape estimated from the real sensor readings. Based on the number of virtual targets placed on the virtual field and the total virtual and real target energy volumes, the number of real targets can be estimated. We consider both single-epoch and multi-epoch sensor readings and our theoretical analysis indicates that by exploiting the information from multiple epochs, our approach yields a target count that approximately converges to the true target count when the number of epochs is large enough. Extensive comparison based simulation study has been performed and the results verify the effectiveness of our target counting algorithms.
  • Keywords
    Monte Carlo methods; wireless sensor networks; Monte Carlo method; accept-reject process; mobile target counting; multiepoch sensor readings; single epoch sensor readings; virtual sensor field; virtual target energy landscape; Accuracy; Approximation algorithms; Clustering algorithms; Mobile communication; Monte Carlo methods; Sensors; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems (ICDCS), 2011 31st International Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6927
  • Print_ISBN
    978-1-61284-384-1
  • Electronic_ISBN
    1063-6927
  • Type

    conf

  • DOI
    10.1109/ICDCS.2011.90
  • Filename
    5961727