EPCglobal Gen 2 Tag Identification Performance Analysis Modifying the C model in the Q Algorithm 


Vol. 34,  No. 12, pp. 1444-1451, Dec.  2009


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  Abstract

This paper first proposes diverse C determining models in the Q algorithm which is proposed in the EPCglobal C1 Gen 2 standard and then compares and analyzes its performance. EPCglobal C1 Gen 2 standard proposes the slot-count (Q) selection algorithm for multiple tag identification environment, but there is no such definition for the C value which modifies the Q value depending on collision or no reply. During the tag anti-collision process, the Q algorithm adds C to the Q when there is a collision and reduces the Q by C when there is no reply. The modified Q value updates new slot-counts for tags which determines the tag identification speed, so the C value is an important factor. However, many researches only intend to increase the tag identification speed by proposing a new method or modifying the Q algorithm without any research about the C value. This paper suggests diverse C models which satisfies the EPCglobal C1 Gen 2 and analyzes their performance in the multi tag identification environment. The result of this paper can be used as an index for future researches on EPCglobal C1 Gen 2 C models and multiple tag identification performance.

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  Cite this article

[IEEE Style]

J. Park and S. H. Cho, "EPCglobal Gen 2 Tag Identification Performance Analysis Modifying the C model in the Q Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 12, pp. 1444-1451, 2009. DOI: .

[ACM Style]

Jongmyung Park and Sung Ho Cho. 2009. EPCglobal Gen 2 Tag Identification Performance Analysis Modifying the C model in the Q Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 34, 12, (2009), 1444-1451. DOI: .

[KICS Style]

Jongmyung Park and Sung Ho Cho, "EPCglobal Gen 2 Tag Identification Performance Analysis Modifying the C model in the Q Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 12, pp. 1444-1451, 12. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880