一种基于分组的RFID系统精细分组动态框架开槽ALOHA防撞方法

Chun-Yi Wang, Chi-Chung Lee
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引用次数: 18

摘要

开槽ALOHA防撞方法有两个特点。第一个特征是,如果标签数量和插槽数量相等,我们可以得到slotted ALOHA的最佳吞吐量增加。第二个特征是,如果标签数量较少,帧大小等于标签数量,则吞吐量随着标签数量的减少而增加。然而,对于提高开槽ALOHA防碰撞方法的吞吐量的第二个特征,大多数研究人员很少进行探索。本文提出了一种基于分组的动态框架开槽ALOHA精细分组防碰撞方法(GB-DFSA),以充分利用这两个特征进行标签识别。我们将GB-DFSA的吞吐量与其他两种方法(带分区的EDFSA和DFSA)的吞吐量进行了比较。结果表明,GB-DFSA的吞吐量为40%,比分区的EDFSA(38%)和DFSA(31%)高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Grouping-Based Dynamic Framed Slotted ALOHA Anti-Collision Method with Fine Groups in RFID Systems
Slotted ALOHA anti-collision methods have two features. The first feature is that we get the optimal throughput of slotted ALOHA increased if the number of tags and the number of slots are equal. The second feature is that if the number of tags is small and the frame size is equal to the number of tags, the throughput increases as the number of tags decreases. However, most researchers have made little effort to explore the second feature to increase the throughputs of Slotted ALOHA anti- collision methods. In this paper we propose a grouping based dynamic framed slotted ALOHA anti- collision method with fine groups (GB-DFSA) to fully utilize the two features to perform tag identification. We compare the throughput of GB-DFSA with those of the other two methods - EDFSA with partition and DFSA. The results show that the throughput of GB-DFSA is 40% which is higher than EDFSA (38%) with partition and DFSA (31%).
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