To improve the efficiency of the identification process in RFID system, anti-collision protocol is crucial. EPC Class-1 Generation-2 standard (Gen2) employs ALOHA-based Q algorithm as anti-collision protocol. However, the same updating rate will cause unnecessary collided and idle slots. In 2010, we proposed a Fast Q algorithm (FQA) that adjusted the value of Q with different steps. Recently, we find that the Fast Q algorithm can be further improved since it did not consider the probabilities of collided/idle slots. Accordingly, this paper proposes an Enhanced Fast Q algorithm (EFQA). In EFQA, Q will be updated after two continuous collided or idle slots with different updating rates, which are calculated by synthesizing the duration time of collided/idle slots and their probabilities. We then quantitatively analyze the performance of EFQA by establishing a Discrete-Time Markov Chain (DTMC) model. Simulation results show that EFQA outperforms other protocols regardless of the number of tags.
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This work is supported by the National Natural Science Foundation of China (No. 61504096). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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Xuan, X., Li, K. Efficient Anti-collision Algorithm for RFID EPC Generation-2 Protocol Based on Continuous Detection. Int J Wireless Inf Networks 27, 133–143 (2020). https://doi.org/10.1007/s10776-019-00465-4
- Tag collision
- Continuous detection
- Performance analysis