• DocumentCode
    3072699
  • Title

    Location Estimation Technique using Extended 3-D LANDMARC Algorithm for Passive RFID Tag

  • Author

    Khan, M. Ayoub ; Antiwal, Videep Kumar

  • Author_Institution
    Centre for Dev. of Adv. Comput., Minist. of Commun., Noida
  • fYear
    2009
  • fDate
    6-7 March 2009
  • Firstpage
    249
  • Lastpage
    253
  • Abstract
    The radio frequency identification (RFID) is not designed primarily for indoor location sensing. However, location can be sensed in a viable and cost effective way by employing some algorithm. This paper is an attempt to extend the current LANDMARC algorithm by introducing the ´z´ coordinate. The presented work utilizes the passive tag instead of active, which essentially cuts the cost of RFID tracking system drastically. The Received Signal Strength Indicator (RSSI) is provided by Intel R1000 transceiver directly, it eliminates the scanning time of existing LANDMARC algorithm. The presented result shows the correctness and the efficiency of the simulation. The error rate in the estimation of location is .5 only, which is acceptable in any tracking system. Furthermore, this algorithm can be coined with other route-tracking algorithm to give exact path of the tag.
  • Keywords
    radiofrequency identification; tracking; transceivers; RFID tracking system; extended 3-D LANDMARC algorithm; location estimation technique; passive RFID tag; radio frequency identification; received signal strength indicator; transceiver; z coordinate; Algorithm design and analysis; Books; Costs; Error analysis; Frequency estimation; Hospitals; Libraries; Passive RFID tags; Radiofrequency identification; Transceivers; Euclidian distance; GPS; RFID; RSSI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference, 2009. IACC 2009. IEEE International
  • Conference_Location
    Patiala
  • Print_ISBN
    978-1-4244-2927-1
  • Electronic_ISBN
    978-1-4244-2928-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2009.4809016
  • Filename
    4809016