• DocumentCode
    3456116
  • Title

    RFID Dynamic Grouping Anti-collision Algorithm Based on FCM

  • Author

    Xue, Yao-feng ; Sun, Hua-li ; Zhu, Zhi-Ting

  • Author_Institution
    eEducational Syst. Eng. Res. Center, East China Normal Univ., Shanghai, China
  • fYear
    2009
  • fDate
    3-5 Aug. 2009
  • Firstpage
    619
  • Lastpage
    622
  • Abstract
    This paper introduces the radio frequency identification (RFID) technology and the RFID anti-collision algorithms. The application mode of the RFID dynamic grouping anti-collision algorithm based on fuzzy c-means (FCM) clustering theory is stated. The selection of RFID tag grouping indexes is presented. The steps of the proposed anti-collision algorithm are developed. The simulation results show the algorithm can improve the stability and the reading accuracy of the RFID system.
  • Keywords
    fuzzy set theory; pattern clustering; radiofrequency identification; RFID dynamic grouping anticollision algorithm; RFID tag grouping indexes selection; fuzzy c-means clustering theory; Binary trees; Clustering algorithms; Distance learning; Educational institutions; Heuristic algorithms; RFID tags; Radiofrequency identification; Sampling methods; Stability; Systems engineering and theory; Anti-collision algorithm; Dynamic grouping; FCM; RFID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3739-9
  • Type

    conf

  • DOI
    10.1109/IJCBS.2009.54
  • Filename
    5260481