• DocumentCode
    3369977
  • Title

    An Enhanced Anti-collision Algorithm in RFID Based on Counter and Stack

  • Author

    Chen, Wei-Chih ; Horng, Shi-Jinn ; Fan, Pingzhi

  • Author_Institution
    Nat. Taiwan Univ. of Sci. & Technol., Taipei
  • fYear
    2007
  • fDate
    25-31 Aug. 2007
  • Firstpage
    21
  • Lastpage
    21
  • Abstract
    Radio frequency identification has been developed for many years and it got much attention from researchers recently as there are lots of applications being used practically in the real world. Owing to the shared wireless channel between tags and reader during communication, the tag collision arbitration is a significant issue for reducing the communication overhead. This paper presents a novel anti-collision algorithm named as EAA (enhanced anti-collision algorithm) which is based on ABS (Adaptive Binary Splitting) algorithm proposed by Myung et al. We improve the ABS algorithm, and inherit the advantages of the ABS algorithm. EAA uses counter, stack, and Manchester code (Bo Chen et al., 2005) to reduce the probability of collision efficiently. Compared to the methods proposed by other researchers (Bo Feng, 2006), (Jihoon Myung, 2006) the performance evaluation shows that the proposed scheme in this paper uses fewer timeslots for indentifying tags.
  • Keywords
    performance evaluation; radiofrequency identification; telecommunication congestion control; ABS algorithm; Manchester code; RFID; adaptive binary splitting algorithm; enhanced anti-collision algorithm; performance evaluation; radio frequency identification; Algorithm design and analysis; Binary search trees; Communications technology; Computer science; Costs; Counting circuits; Mobile communication; RFID tags; Radiofrequency identification; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Networks Communications, 2007. ICSNC 2007. Second International Conference on
  • Conference_Location
    Cap Esterel
  • Print_ISBN
    0-7695-2938-0
  • Electronic_ISBN
    978-0-7695-2938-7
  • Type

    conf

  • DOI
    10.1109/ICSNC.2007.16
  • Filename
    4299993