• DocumentCode
    466951
  • Title

    Hop-Distance Algorithm for Self-Localization of Wireless Sensor Networks

  • Author

    Zhao, Dali ; Men, Yunhui ; Zhao, Linliang

  • Author_Institution
    Northeastern Univ., Shenyang
  • Volume
    2
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    108
  • Lastpage
    112
  • Abstract
    In wireless sensor networks, it is difficult yet important to locate the sensor nodes. Self-localization algorithm of sensor nodes can be used in both military and civil applications. A low-cost and practical approach is proposed in this paper. The hop-distance algorithm is based on RSSI (received signal strength indicator), geometry and most likelihood estimation. Simulations show that average position error is about 20% of the radio range of the nodes in a scenario where the average ranging error is 10% and 10% of the nodes are anchor nodes.
  • Keywords
    maximum likelihood estimation; wireless sensor networks; hop-distance algorithm; likelihood estimation; position error; radio range; ranging error; received signal strength indicator; self-localization algorithm; sensor nodes; wireless sensor networks; Artificial intelligence; Broadcasting; Distributed computing; Educational institutions; Information science; Maximum likelihood estimation; Monitoring; Software algorithms; Software engineering; Wireless sensor networks; Hop-distance.; Self localization; Wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.506
  • Filename
    4287660