• DocumentCode
    3199775
  • Title

    A Strong Anti-interference Capability Location Algorithm Based on RSSI

  • Author

    Gao Li-peng ; Jiang Han-wen

  • Author_Institution
    Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • fDate
    8-10 Dec. 2012
  • Firstpage
    290
  • Lastpage
    295
  • Abstract
    Node localization with fewer resources and less computing time is an important and challenging issue in the field of wireless sensor network (WSN). There are a variety of localizing algorithms and testing methods to deal with that problem. Taking account of the error variable caused by practical interference and the difficulty to use standard mathematical function to describe the model, a method using distance-weighted average and taking the largest received signal strength indicator (RSSI) is proposed. It improves the trilateral algorithm and overcome short-term signal interference. The traditional methods are modified accordingly to suit conditions when the beacon nodes are located in different environment. Finally, the localizing effects of the 3 localizing algorithms were compared. The results show that the new method gets a higher accuracy than traditional algorithms.
  • Keywords
    mathematical analysis; wireless sensor networks; RSSI; WSN; distance weighted average; error variable; node localization; received signal strength indicator; standard mathematical function; strong antiinterference capability location algorithm; wireless sensor network; Accuracy; Interference; Mathematical model; Noise; Shadow mapping; Time measurement; Wireless sensor networks; RSSI; distance measurement; localizing algorithm; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-5034-1
  • Type

    conf

  • DOI
    10.1109/IMCCC.2012.72
  • Filename
    6428905