• DocumentCode
    1794190
  • Title

    ZigBee environment for indoor localization

  • Author

    Kuek Ser Chieh ; Ng Yew Keong ; Burhan, Muhamad Fadli ; Balasubramaniam, Nagaletchumi ; Md Din, Norashidah

  • Author_Institution
    Centre for Commun. Service Convergence Technol., Univ. Tenaga Nasional, Kajang, Malaysia
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    152
  • Lastpage
    155
  • Abstract
    Indoor localization system has become popular and widely deployed in ftracking the position and movement of objects and humans within an enclosed structure. This work proposes development of indoor localization system using ZigBee. K-Nearest Neighbor algorithm is adapted to predict the location of a user in an indoor environment. The accuracy of the indoor location sensing is investigated. Emphasis is placed on RSS sample vector fluctuation correction to further increase the prediction accuracy.
  • Keywords
    Zigbee; indoor radio; regression analysis; RSS sample vector fluctuation correction; ZigBee environment; indoor localization system; k-nearest neighbor algorithm; Accuracy; Estimation; Fingerprint recognition; Floors; Fluctuations; Vectors; Zigbee;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering Technology and Technopreneuship (ICE2T), 2014 4th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Type

    conf

  • DOI
    10.1109/ICE2T.2014.7006237
  • Filename
    7006237
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1794190