• DocumentCode
    3576865
  • Title

    Range-Free Localization Algorithm for IEEE802.11 WLAN Based on K-NN

  • Author

    Kuntal, Ashutosh ; Karmakar, Purnendu

  • Author_Institution
    LNMIIT, Jaipur, India
  • fYear
    2014
  • Firstpage
    164
  • Lastpage
    169
  • Abstract
    Nowadays, localization of mobile node using wireless local area network (WLAN) become a most emerging area. Its location based services leads to make it applicable in various fields like intruder identification, healthcare system, navigation etc. To determine the location of a mobile node various localization techniques have been proposed. In this paper, we propose a new range-free localization algorithm based on K-nearest neighbors (K-NN) method for IEEE802.11 WLAN. Our algorithm finds K-NN by comparing received signal strength (RSS) of mobile node (MN). Thereafter, location of MN is computed by calculating weighted average of coordinates of K-NN. We also compared our proposed algorithm with RSS difference and conventional K-NN methods. Extensive simulation results show that the accuracy of our algorithm is better than these two methods. We also examine the effect of network size, grid size, number of access point (AP) and shadowing factor on localization accuracy of proposed algorithm.
  • Keywords
    RSSI; mobile computing; mobility management (mobile radio); wireless LAN; IEEE802.11 WLAN; K-NN method; K-nearest neighbors method; RSS; access point; healthcare system; intruder identification; localization techniques; location based services; mobile localization; mobile node; range-free localization algorithm; received signal strength; wireless local area network; Accuracy; Fingerprint recognition; IEEE 802.11 Standards; Manganese; Mathematical model; Shadow mapping; Wireless LAN; Access point; Localization; Location estimation; Trilateration; WLAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2014 Sixth International Conference on
  • Print_ISBN
    978-1-4799-5075-1
  • Type

    conf

  • DOI
    10.1109/CICSyN.2014.43
  • Filename
    7059163