• DocumentCode
    1678406
  • Title

    Some issues on WSN localization based on MLE

  • Author

    Wang, Lei ; Wang, Xiaopeng ; Du, Xiaotong

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2010
  • Firstpage
    796
  • Lastpage
    800
  • Abstract
    Node localization plays a key role in the validity of WSN applications. To improve the precision of WSN node localization, A localization algorithm is studied which is based on Maximum Likelihood Estimation (MLE). A new RSSI ranging model is proposed that is depicted by two empirical models. The optimal number of reference WSN nodes for localization are studied. The test results show that the error of localization is less than 1 m with the new model while the reference node number is 5
  • Keywords
    maximum likelihood estimation; signal processing; wireless sensor networks; RSSI ranging model; WSN localization; maximum likelihood estimation; node localization; received signal strength indicator; reference node number; wireless sensor network; Ad hoc networks; Maximum likelihood estimation; Robot sensing systems; Wireless communication; Wireless sensor networks; Localization; MLE(Maximum Likelihood Estimation); RSSI(Received Signal Strength Indicator); Ranging; WSN(Wireless Sensor Networks);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554095
  • Filename
    5554095