• DocumentCode
    2118718
  • Title

    Localization Algorithm Based on Difference Estimation for Wireless Sensor Networks

  • Author

    Su, Fugen ; Ren, Weizheng ; Jin, Hongli

  • Author_Institution
    Century Coll., Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2009
  • fDate
    27-28 Feb. 2009
  • Firstpage
    499
  • Lastpage
    503
  • Abstract
    In order to suppress effectively the effects of RSSI error to wireless sensor networks node localizationpsilas precision, individual diversity difference coefficient, distance difference coefficient and distance difference localization equation is defined based on the analysis of the models of maximum likelihood estimation and RSSI. The closest beaconing node to object node as reference node corrects measure distance based on RSSI by difference method. A distance difference localization algorithm is put forward through combining difference correction method and maximum likelihood estimation method. This localization algorithm neednpsilat additional hardware spending, easy to be realized and its localization error is less than 2.5 m, therefore it is fit for localization of WSN node whose operation ability and power supply are restricted.
  • Keywords
    maximum likelihood estimation; wireless sensor networks; RSSI error; beaconing node; distance difference coefficient; distance difference localization equation; individual diversity difference coefficient; localization algorithm; maximum likelihood estimation method; object node; power supply; received signal strength; reference node; wireless sensor networks; Algorithm design and analysis; Coordinate measuring machines; Costs; Distance measurement; Hardware; Maximum likelihood estimation; Power supplies; Propagation losses; Radio propagation; Wireless sensor networks; Difference.; Localization; Maximum Likelihood Estimation; RSSI; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks, 2009. ICCSN '09. International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-0-7695-3522-7
  • Type

    conf

  • DOI
    10.1109/ICCSN.2009.129
  • Filename
    5076901