• DocumentCode
    3389533
  • Title

    Localization algorithm for mobile anchor node based on genetic algorithm in wireless sensor network

  • Author

    Huanxiang, Jia ; Yong, Wang ; Xiaoling, Tao

  • Author_Institution
    Comput. & Control Coll., Guilin Univ. of Electron. Technol., Guilin, China
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Firstpage
    40
  • Lastpage
    44
  • Abstract
    The significance of localization technology for wireless sensor network is discussed, and localization algorithm based on genetic algorithm for a mobile anchor node is proposed. On the basis of the distance from anchor node to unknown node is measured by RSSI, the algorithm combines weighted centroid method and genetic algorithm in order to locate the unknown nodes. Firstly, weighted centroid method is used to get the initial estimated, and then genetic algorithm is adopted to locate precisely. The paper carries out simulation experiments on moving time, moving speed of the anchor, iterative times respectively, and the result shows that the proposed algorithm has strong expanded ability, low computing complexity, and can significantly reduce the localization error and the number of anchor nodes.
  • Keywords
    computational complexity; genetic algorithms; wireless sensor networks; RSSI; genetic algorithm; localization algorithm; low computing complexity; mobile anchor node; weighted centroid method; wireless sensor network; Wildlife; Wireless sensor networks; centroid algorithm; genetic algorithm; localization; mobile anchor node; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-6834-8
  • Type

    conf

  • DOI
    10.1109/ICISS.2010.5655005
  • Filename
    5655005