• DocumentCode
    2624693
  • Title

    Experimental analysis of RSSI-based indoor localization with IEEE 802.15.4

  • Author

    Goldoni, Emanuele ; Savioli, Alberto ; Risi, Marco ; Gamba, Paolo

  • Author_Institution
    Dept. of Electron., Univ. of Pavia, Pavia, Italy
  • fYear
    2010
  • fDate
    12-15 April 2010
  • Firstpage
    71
  • Lastpage
    77
  • Abstract
    This paper presents a comparison between some of the most used ranging localization methods based on the Received Signal Strength Indicator (RSSI) in low-power IEEE 802.15.4 wireless sensor networks. In particular, the Trilateration, the Min-Max and the Maximum-Likelihood algorithms have been compared using only a limited number of reference nodes. In order to perform an exhaustive comparison we carried out tests in an indoor environment: dozens of RSSI values for every estimation have been gathered and cleaned from outliers values. Our results show that it is possible to some extent to obtain positioning information from nodes equipped with IEEE 802.15.4 radio modules, given the position and the number of reference nodes.
  • Keywords
    IEEE standards; access protocols; indoor radio; maximum likelihood estimation; minimax techniques; personal area networks; wireless sensor networks; IEEE 802.15.4; RSSI-based indoor localization; maximum-likelihood algorithm; min-max algorithm; ranging localization methods; received signal strength indicator; trilateration algorithm; wireless sensor networks; Antenna measurements; Indoor environments; Intrusion detection; Maximum likelihood detection; Maximum likelihood estimation; Performance evaluation; Signal analysis; Temperature sensors; Testing; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Conference (EW), 2010 European
  • Conference_Location
    Lucca
  • Print_ISBN
    978-1-4244-5999-5
  • Type

    conf

  • DOI
    10.1109/EW.2010.5483396
  • Filename
    5483396