• DocumentCode
    2869109
  • Title

    An Enhanced Anti-collision Algorithm for EPC Gen2 RFID System

  • Author

    Kim, Soo-Cheol ; Kim, Sung Kwon

  • Author_Institution
    Chung-Ang Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    28-30 June 2011
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    Radio-frequency identification (RFID), a new technology for the contactless recognition of objects, is considered as an ideal solution to replace barcode systems. To make RFID technology widely applicable, it is important to resolve the "multiple tag identification problem," that is, indicating tag collision occurs when multiple RFID tags are simultaneously present in a reader\´s field. This paper discusses the dynamic framed slotted ALOHA (DFSA) algorithm adopted in EPCglobal\´s Gen2 standard and proposes an enhanced anti-collision algorithm based on the DFSA. In the proposed algorithm, a new command is added to the conventional DFSA algorithm for the purpose of 1) initiating a new round when tag collision or no-response (no signal from the tags) arises frequently and 2) adjusting the frame length according to the estimated number of tags in the field. The simulation results show that the proposed algorithm takes less tag identification time than the conventional DFSA, thereby increasing RFID system efficiency.
  • Keywords
    access protocols; radiofrequency identification; DFSA algorithm; EPC Gen2 RFID system; barcode system; dynamic framed slotted ALOHA algorithm; enhanced anticollision algorithm; multiple tag identification problem; radio-frequency identification; Algorithm design and analysis; Heuristic algorithms; ISO standards; Protocols; Radiation detectors; Radio frequency; Radiofrequency identification; Anti-collision; EPC Gen2; RFID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering (MUE), 2011 5th FTRA International Conference on
  • Conference_Location
    Loutraki
  • Print_ISBN
    978-1-4577-1228-9
  • Electronic_ISBN
    978-0-7695-4470-0
  • Type

    conf

  • DOI
    10.1109/MUE.2011.59
  • Filename
    5992237