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.