• DocumentCode
    77558
  • Title

    Efficient Protocols for Identifying the Missing Tags in a Large RFID System

  • Author

    Tao Li ; Shigang Chen ; Yibei Ling

  • Author_Institution
    Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
  • Volume
    21
  • Issue
    6
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    1974
  • Lastpage
    1987
  • Abstract
    Compared to the classical barcode system, radio frequency identification (RFID) extends the operational distance from inches to a number of feet (passive RFID tags) or even hundreds of feet (active RFID tags). Their wireless transmission, processing, and storage capabilities enable them to support full automation of many inventory management functions in industry. This paper studies the practically important problem of monitoring a large set of active RFID tags and identifying the missing ones-the objects that the missing tags are associated with are likely to be missing as well. This monitoring function may need to be executed frequently and therefore should be made efficient in terms of execution time in order to avoid disruption of normal inventory operations. Based on probabilistic methods, we design a series of missing-tag identification protocols that employ novel techniques to reduce the execution time. Our best protocol reduces the time for detecting the missing tags by an order of magnitude when compared to existing protocols.
  • Keywords
    bar codes; inventory management; protocols; radiofrequency identification; active RFID tags; barcode system; efficient protocols; inventory management functions; large RFID system; missing tags identification; passive RFID tags; radio frequency identification; storage capabilities; wireless processing; wireless transmission; Active RFID tags; Chemical reactors; Databases; IEEE transactions; Inventory management; Protocols; Radio frequency identification (RFID) tags;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2013.2245510
  • Filename
    6472745