• DocumentCode
    858445
  • Title

    An Efficient Reader Anticollision Algorithm in Dense RFID Networks With Mobile RFID Readers

  • Author

    Eom, Jun-Bong ; Yim, Soon-Bin ; Lee, Tae-Jin

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon
  • Volume
    56
  • Issue
    7
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    2326
  • Lastpage
    2336
  • Abstract
    In parallel with the proliferation of radio-frequency identification (RFID) systems, many RFID readers have been increasingly employed. In such an environment, collision among readers becomes a serious problem. Existing anticollision algorithms, depending on the information of neighboring readers, may require constant effort in order to grasp such information. Although it may be given by a server or a coordinator, they may not be suitable in dense and dynamic RFID networks with mobile readers. In this paper, we propose an efficient reader anticollision algorithm using a polling server in dense and dynamic RFID networks with mobile readers. Owing to the assistance of the server, the readers can rapidly decide whether they can work or not without interfering neighbors and can be easily synchronized. Our proposed algorithm is simple and makes readers aware of neighbors to minimize reader collisions. Performance evaluation shows how many readers can operate in a network and indicates that our proposed algorithm is more efficient than distributed color selection, colorwave, and hierarchical Q-learning algorithm, particularly in dense and mobile environments.
  • Keywords
    mobile radio; radiofrequency identification; telecommunication traffic; dense RFID networks; mobile RFID reader; polling server; radio-frequency identification; reader anticollision algorithm; Anticollision; dense radio-frequency identification (RFID) networks; mobile readers; server; tags;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2009.2021869
  • Filename
    4915784