• DocumentCode
    3070010
  • Title

    IBTA: An IBT-Tree Based Algorithm for RFID Anti-collision

  • Author

    Chen, Xiaoyun ; Yao, Yukai ; Liu, Guohua ; Su, Youli ; Chen, Yi ; Miao, Shengfa

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    407
  • Lastpage
    410
  • Abstract
    In this paper we propose an anti-collision algorithm named IBTA for Radio Frequency Identification (RFID) when tag collision problem occurred. RFID is a flagship technology that has been developed for years since 1990s. Because of the shared wireless channel between RFID reader and tags during communication, the tag collision problem is a matter of significance to the performance of a RFID system. In the proposed algorithm, Manchester code is used to detect collision, and stack, counters are taken to decrease redundant communications. Theoretical analysis and experiment show that the proposed algorithm can effectively reduce the reader-to-tag communication cost at least by 11.11% than the Dynamic Binary Search Algorithms of Backtracking, and is more efficient than other binary tree based algorithms.
  • Keywords
    backtracking; radiofrequency identification; telecommunication congestion control; tree searching; IBT-tree based algorithm; IBTA; Manchester code; RFID tag anticollision; backtracking; collision detection; dynamic binary search algorithms; radio frequency identification; reader-to-tag communication; Algorithm design and analysis; Binary trees; Complexity theory; Heuristic algorithms; Protocols; Radiation detectors; Radiofrequency identification; Anti-collision; Manchester Code; RFID; Tag Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.86
  • Filename
    5634758