Improvement of Tag Collection Performance for Active RFID Systems 


Vol. 33,  No. 7, pp. 518-527, Jul.  2008


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  Abstract

Tag collection is one of the major functions in Radio Frequency Identification (RFID) systems. ISO/IEC 18000-7 defines the tag collection algorithm using the anti-collision algorithm, based on the framed slotted ALOHA for active RFID systems. However, it has inefficiency problems that reduce tag collection performance by deciding non-optimum slot size or using point-to-point commands to put collected tags to sleep. In this paper, we propose two mechanisms to overcome the inefficiency problems and improve tag collection performance: 1) a new slot size decision mechanism to allow the reader to choose the optimum slot size flexibly and 2) a broadcast-based sleep mechanism to put collected tags to sleep effectively. We also implemented an active RFID system, composed of an active RFID reader and multiple tags, and the reader is designed to maximize tag collection performance when the proposed mechanisms are applied. In experiments, we evaluated the tag collection performance using one reader and 50 tags in the real-world environment. The experimental results show that when two mechanisms are applied and the initial number of slots is chosen appropriately, the performance of the proposed tag collection algorithm is greatly enhanced, compared with that of the standard.

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  Cite this article

[IEEE Style]

W. Yoon, S. Chung, Y. Moon, "Improvement of Tag Collection Performance for Active RFID Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 7, pp. 518-527, 2008. DOI: .

[ACM Style]

Won-Ju Yoon, Sang-Hwa Chung, and Young-Sik Moon. 2008. Improvement of Tag Collection Performance for Active RFID Systems. The Journal of Korean Institute of Communications and Information Sciences, 33, 7, (2008), 518-527. DOI: .

[KICS Style]

Won-Ju Yoon, Sang-Hwa Chung, Young-Sik Moon, "Improvement of Tag Collection Performance for Active RFID Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 7, pp. 518-527, 7. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880