• DocumentCode
    1992631
  • Title

    Mobility-Assisted Position Estimation in Wireless Sensor Networks

  • Author

    Chen, Hongyang ; Huang, Pei ; So, Hing Cheung ; Sezaki, Kaoru

  • Author_Institution
    Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2008
  • fDate
    8-10 Dec. 2008
  • Firstpage
    607
  • Lastpage
    614
  • Abstract
    Wireless sensor networks (WSNs) have been proposed for a multitude of location-dependent applications. To stamp the collected data and facilitate communication protocols, it is necessary to identify the location of each sensor. In this paper, we discuss the performance of a novel received signal strength indicator (RSSI) positioning scheme, which uses a generalized geometrical location algorithm to achieve an accurate estimation based on mean received signal strength measurements. In order to improve the network performance and address limitations of static WSNs position estimation, mobile sensors are utilized effectively and an attractive movement strategy with mobile elements is designed. The effectiveness of our approach is validated and compared with the traditional RSSI method by extensive simulations.
  • Keywords
    protocols; wireless sensor networks; communication protocol; generalized geometrical location algorithm; location-dependent application; mean received signal strength measurement; mobile sensor; mobility-assisted position estimation; received signal strength indicator positioning scheme; wireless sensor networks; Additive white noise; Computer industry; Computer science; Electronics industry; Industrial electronics; Monitoring; Protocols; State estimation; USA Councils; Wireless sensor networks; Geometrical location; RSSI; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems, 2008. ICPADS '08. 14th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • ISSN
    1521-9097
  • Print_ISBN
    978-0-7695-3434-3
  • Type

    conf

  • DOI
    10.1109/ICPADS.2008.62
  • Filename
    4724371