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W.-T. Chen, “An accurate tag estimate method for improving the performance of an RFID anticollision algorithm based on dynamic frame length ALOHA,” IEEE Transactions on Automation Science And Engineering, Vol. 6, No. 1, pp. 9–15, January 2009.

has been cited by the following article:

• TITLE: Novel Tag Anti-Collision Algorithm with Adaptive Grouping

  AUTHORS: Jun DING, Falin LIU

  KEYWORDS: Tag Anti-Collision, RIFD, Tag Estimate, Grouping

  JOURNAL NAME: Wireless Sensor Network, Vol.1 No.5, December 16, 2009

  ABSTRACT: For RFID tags, a Novel Tag Anti-collision Algorithm with Grouping (TAAG) is proposed. It divides tags into groups and adopts a deterministic method to identify tags within group. TAAG estimates the total number of tags in systems from group identifying result and then adjusts the grouping method accordingly. The performance of the proposed TAAG algorithm is compared with the conventional tag anti-collision algorithms by simulation experiments. According to both the analysis and simulation result, the proposed algorithm shows better performance in terms of throughput, total slots used to identify and total cycles.