Novel Tag Anti-Collision Algorithm with Adaptive Grouping

• 作者: Falin LIU Jun DING
• 来源期刊: 无线传感网络(英文)
• 学科: 工学
• 关键词: TAG ANTI-COLLISION RIFD TAG ESTIMATE GROUPING
• 年，卷（期）: 2009,（5）
• 页码范围: 475-481
• 页数: 7页
• 分类号: TP39

摘要

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.