• DocumentCode
    1929031
  • Title

    Fusing Received Signal Strength from Multiple Access Points for WLAN User Location Estimation

  • Author

    Zhang, Minghua ; Zhang, Shensheng ; Cao, Jian

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai
  • fYear
    2008
  • fDate
    28-29 Jan. 2008
  • Firstpage
    173
  • Lastpage
    180
  • Abstract
    WLAN received signal strength based location estimation techniques are promising for their low cost and ease of deployment. Existing techniques use received signal strength from different access points in an equal way. However, signals sent from the far access point experience more influence of the environmental noises, and more uncertainties are added in the signal strength. As detectable access points have different distance to the user, their contributions to the final estimation should be considered discriminatingly. In this paper, a novel location estimation approach is proposed using the Dempster-Shafer evidence theory to fuse received signal strength from multiple access points with different belief. We elaborate on three key problems during applying the Dempster-Shafter evidence theory. The approach has been implemented in a practical wireless network and experimental results indicate that it is feasible in both accuracy and locating time. An average location estimation error below 2 meters can be obtained.
  • Keywords
    inference mechanisms; mobile computing; wireless LAN; Dempster-Shafer evidence theory; WLAN user location estimation; multiple access points; received signal strength; Computer science; Costs; Global Positioning System; Internet; Space technology; Spaceborne radar; Uncertainty; Wireless LAN; Wireless networks; Working environment noise; Dempster-Shafer evidence theory; location estimation; received signal strength;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-0-7695-3112-0
  • Electronic_ISBN
    978-0-7695-3112-0
  • Type

    conf

  • DOI
    10.1109/ICICSE.2008.24
  • Filename
    4548255