• DocumentCode
    567091
  • Title

    A RFID anti-collision algorithm based on multithread regressive-style binary system

  • Author

    Jin Di ; Ma YanMin ; Fan ZhiPeng ; Fu Xiaolin

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Harbin Univ. of Commerce, Harbin, China
  • Volume
    1
  • fYear
    2012
  • fDate
    18-20 May 2012
  • Firstpage
    365
  • Lastpage
    369
  • Abstract
    This paper aims at solving the conflicts among the problems of RFID. Based on the analysis of the original binary anti-collision algorithm, it puts forward a new algorithm to improve the identifying speed of RFID tag and to optimize the system performance. The algorithm is mainly inclusive of the backward technology, stack data structure and multithreading processing. With the RFID reader sending triad commands and the RFID tag´s responding the collision bit´ information, it aims to decrease the amount of data transmission; With applying the stack storing RFID to send commands, it aims to identify times of conflicts; With applying the multithreading notion to classify the labels, it aims to shorten processing time of conflicts. The analysis of experimental results shows that compared with original algorithm, this algorithm reduces the times of identifying conflicts and the amount of data transmission, which improves the system performance.
  • Keywords
    radiofrequency identification; RFID anticollision algorithm; RFID reader; RFID tag identifying speed; backward technology; binary anticollision algorithm; collision bit information; data transmission; label classification; multithread regressive-style binary system; multithreading processing; stack data structure; Encoding; RFID tag collision; backward strategy; multithreading processing; the binary anti-collision algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (MIC), 2012 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1601-0
  • Type

    conf

  • DOI
    10.1109/MIC.2012.6273272
  • Filename
    6273272