Improved Bayesian Method with Collision Recovery for RFID Anti-collision

Chu, Chu; Su, Jian; Yu, Han

doi:10.1007/978-3-030-24265-7_5

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…If the tag number is larger than M Border Suc , the actual number of successful slots will be likely to reduce to 0. M Border Suc is the solution of Equation (13).…”

Section: Idlementioning

confidence: 99%

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LC-DFSA: Low Complexity Dynamic Frame Slotted Aloha Anti-Collision Algorithm for RFID System

Jiang

Yang

et al. 2019

Sensors

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With the rapid development of the Internet of Things (IoT), the radio frequency identification (RFID) system becomes increasingly important. Tag identification is a basic problem of the RFID system, whose purpose is to inventory tags. However, in recent years, it requires a very short time for massive tag identification, which brings serious challenges. The traditional Aloha based anti-collision algorithms have disadvantages of either low efficiency or high complexity. Therefore, this article proposes a low complexity dynamic frame slotted Aloha (DFSA) anti-collision algorithm, named LC-DFSA. The reader can estimate the range of tag numbers according to the last frame size, the number of successful slots and the ratio of idle slots. Then the optimal frame size can be calculated. Complexity analysis is deployed in this article, and we validate the correctness of the analysis. Through our simulations, LC-DFSA outperforms other schemes in both the average access efficiency and the algorithm complexity. It also can be conveniently applied to engineering implementations.

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“…If the tag number is larger than M Border Suc , the actual number of successful slots will be likely to reduce to 0. M Border Suc is the solution of Equation (13).…”

Section: Idlementioning

confidence: 99%

“…Mustapha et al [12] proposed a Tag Estimation Method (TEM) that combined Bayesian and lower bound estimating. Chu et al [13] estimated tag population through an enhanced Bayesian Method used in the physical layer. Wang et al [14] used the secant iteration method to estimate the number of tags.…”

Section: Introductionmentioning

confidence: 99%