• DocumentCode
    2483680
  • Title

    Error analyzing for RSSI-based localization in wireless sensor networks

  • Author

    Chen, Wanming ; Mei, Tao ; Sun, Lei ; Liu, Yumei ; Li, Yangming ; Li, Shuai ; Liang, Huawei ; Meng, Max Q H

  • Author_Institution
    Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    2701
  • Lastpage
    2706
  • Abstract
    Analyzing the measuring errors of nodes using received signal strength indications (RSSI) method, such as the parameter error of RSSI theoretical model and the obstacle error between neighbor nodes, this paper proposed a localization algorithm based on analyzing of RSSI errors in wireless sensor networks called ERSSI. Based on the two errors mentioned, it got the online parameter changing method for RSSI theoretical model and reduced the effect of those small obstacles. We show by both theoretical analysis and simulations that this algorithm can get low localization errors when the size of obstacles is small.
  • Keywords
    error analysis; wireless sensor networks; error analysis; received signal strength indications; wireless sensor networks; Algorithm design and analysis; Automation; Computer errors; Error analysis; Error correction; Intelligent control; Intelligent networks; Maximum likelihood estimation; Member and Geographic Activities Board committees; Wireless sensor networks; RSSI; errors analyzing; localization algorithm; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593350
  • Filename
    4593350