• DocumentCode
    3052860
  • Title

    A novel self-localization algorithm based on RSS for wireless sensor networks

  • Author

    Chen, Maocong ; Tian, Hua ; Wu, Lianguo

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Self-localization is one of the basic problems in wireless sensor networks. In this paper, we propose a new localization algorithm using received signal strength (RSS) with seven anchors in order to balance the complex technology for distance estimation and the accuracy of the localization. First, based entirely on comparison of received signal strength transmitted by mobile anchors, the static nodes can acquire their positions without estimating these distances directly from other nodes. Then the unknown nodes can estimate the path loss exponent nearby with the estimated positions. Finally, the more accurate positions are achieved through log-distance path loss model. This proposed algorithm decreases the complexity of the hardware equipment, and improves the accuracy of localization result.
  • Keywords
    estimation theory; signal processing; wireless sensor networks; RSS; distance estimation; hardware equipment; log-distance path loss model; mobile anchors; path loss exponent; received signal strength; self-localization algorithm; static nodes; wireless sensor networks; Accuracy; Ad hoc networks; Estimation; Hardware; Mobile communication; Mobile computing; Wireless sensor networks; node localization; path loss component; received signal strength; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-1-4244-7556-8
  • Electronic_ISBN
    978-1-4244-7554-4
  • Type

    conf

  • DOI
    10.1109/WCSP.2010.5633791
  • Filename
    5633791