• DocumentCode
    2313840
  • Title

    A novel anti-collision algorithm for high-density RFID tags

  • Author

    Makwimanloy, Sarawut ; Kovintavewat, Piya ; Ketprom, Urachada ; Tantibundhit, Charturong

  • Author_Institution
    Electr. & Comput. Eng. Dept., Thammasat Univ., Thammasat, Thailand
  • fYear
    2009
  • fDate
    6-9 May 2009
  • Firstpage
    848
  • Lastpage
    851
  • Abstract
    In a radio frequency identification (RFID) system, when more than one tag communicates with a reader at the same time, a collision will occur resulting in the failure of that communication. Many anti-collision algorithms, such as binary tree (BT), FSA, and DFSA have been used in ISO and EPC standards to prevent such a collision. This paper develops a new anti-collision algorithm based on the BT and the DFSA algorithms. Specifically, all tags are divided into many groups using the DSFA algorithm. Then, the tags in each group are identified using the BT algorithm. Results indicate that the proposed algorithm performs better than the existing ones in terms of the number of used time slots (the less the used time slot, the faster the algorithm).
  • Keywords
    access protocols; radiofrequency identification; telecommunication network reliability; telecommunication network topology; telecommunication security; DFSA; FSA; anticollision algorithm; binary tree; communication failure; dynamic framed slotted ALOHA; framed slotted ALOHA; high-density RFID tag system; radiofrequency identification; Access control; Animals; Application software; Binary trees; ISO standards; Logistics; Partitioning algorithms; RFID tags; Radio frequency; Radiofrequency identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
  • Conference_Location
    Pattaya, Chonburi
  • Print_ISBN
    978-1-4244-3387-2
  • Electronic_ISBN
    978-1-4244-3388-9
  • Type

    conf

  • DOI
    10.1109/ECTICON.2009.5137179
  • Filename
    5137179