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A Feasible and Easy-to-Implement Anticollision Algorithm for the EPCglobal UHF Class-1 Generation-2 RFID Protocol

机译:一种适用于EPCglobal UHF Class 1 Generation-2 RFID协议的可行且易于实施的防冲突算法

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摘要

Dynamic frame slotted Aloha (DFSA) has been widely adopted to solve the anticollision problem in a radio frequency identification (RFID) system. In a DFSA procedure, the interrogator needs to continuously estimate tag backlog and select a new frame length for identifying the backlog. Intuitively, the accuracy of the tag estimator will affect the read performance. Hence, a considerable amount of research effort has been invested to improve the accuracy of backlog estimation. The improvement in general comes at the expense of large computation load and may lead to a serious challenge if one needs to implement such a kind of estimators in a real RFID system. This paper analyzes the influence of estimation error on read performance. Based on the analysis, we propose a feasible and easy-to-implement anticollision algorithm. Our proposed algorithm can achieve a normalized throughput of 35% that is very close to the theoretical maximum 36.1% for an EPCglobal UHF Class-1 Generation-2 system. The easy-to-implement advantage of our algorithm comes at the expense of only 1% reduction in normalized throughput as compared with the case where maximum throughput can be obtained. The results obtained are useful in designing fast and efficient interrogators.
机译:动态帧时隙Aloha(DFSA)已被广泛采用,以解决射频识别(RFID)系统中的防冲突问题。在DFSA程序中,询问器需要连续估计标签积压,并选择新的帧长以标识积压。直观地,标签估计器的准确性将影响读取性能。因此,已经投入了大量的研究工作来提高积压估计的准确性。通常,这种改进是以较大的计算量为代价的,并且如果需要在真实的RFID系统中实现这种估算器,可能会带来严重的挑战。本文分析了估计误差对读取性能的影响。在分析的基础上,提出了一种可行且易于实现的防冲突算法。我们提出的算法可以实现35%的归一化吞吐量,非常接近EPCglobal UHF Class 1 Generation-2系统的理论最大值36.1%。与可以获得最大吞吐量的情况相比,我们算法的易于实现的优势是标准化吞吐量仅降低了1%。获得的结果可用于设计快速有效的询问器。

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