The Study on Anti-collision Algorithm of the RFID System based on EPC global Class1 Gen2 


Vol. 34,  No. 8, pp. 235-242, Aug.  2009


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  Abstract

In this paper, we included the analysis of DFSA algorithm which is used in probabilistic slotted collision avoidance algorithm based on EPC Class 1, Generation 2, and propose new algorithm based on this analysis. If collision occurs on the DFSA algorithm processing the tags are not identified and ignored to identify collision tags in the next round. Whenever collisions that occur in the processing, depending on the number of slots and empty slots change Q value range, the number of frame slots be able to go close with the number of tags. But the collisions may increase the number of rounds to be performed again and the total identification time is longer and pose a disadvantage. And we propose more efficiency algorithm in the case of the overall time of total identification, and the system efficiency, and the throughput compare with DFSA algorithm which added SlotAdj command to re-idnetify collision tags on the same round. compared with the performance. To set the first Q value we follow the fist step of DFSA proceesing also we assume that during first round slot number and tag number are closely. And compare the simulated result of DFSA and proposed algorithm to analyze.

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  Cite this article

[IEEE Style]

Y. Chung, Y. Park, K. Kim, Y. Oh, "The Study on Anti-collision Algorithm of the RFID System based on EPC global Class1 Gen2," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 8, pp. 235-242, 2009. DOI: .

[ACM Style]

Yun-sick Chung, Yong-min Park, Kyung-mok Kim, and Young-Hwan Oh. 2009. The Study on Anti-collision Algorithm of the RFID System based on EPC global Class1 Gen2. The Journal of Korean Institute of Communications and Information Sciences, 34, 8, (2009), 235-242. DOI: .

[KICS Style]

Yun-sick Chung, Yong-min Park, Kyung-mok Kim, Young-Hwan Oh, "The Study on Anti-collision Algorithm of the RFID System based on EPC global Class1 Gen2," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 8, pp. 235-242, 8. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880