Implementation of Improved Frame Slotted ALOHA Algorithm for Fast Tag Collection in an Active RFID System 


Vol. 39,  No. 9, pp. 598-605, Sep.  2014


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  Abstract

In this paper, we suggest a modified slotted ALOHA algorithm for fast tag collection in active RFID system and implement the reader and tag operation using CC2530 chip of Texas Instruments Co. to prove the performance of the proposed algorithm. In the present international standard related with active RFID including ISO/IEC 18000-7 the reader sends sleep command to each tag after successful obtaining tag’s information. Meanwhile, in this paper, the tags decide to sleep after checking the second command from the reader resulting in enormously decreased tag collection time. We tested the proposed algorithm with 30 tags over the range of 0-3m and the results showed that the tag collection process was completed in 400msec at average. And 30 tags are collected in one second with 99.7% and the collection rate is 100% in 2m distance between reader and tag. The collection rates are 99.94% and 99.7% for distance 2.5m and 3m, respectively. The average collection rate is 99.91% over all range and it is concluded that the proposed algorithm is enough to apply to real fields.

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  Cite this article

[IEEE Style]

J. Kim, B. Kang, K. Lee, "Implementation of Improved Frame Slotted ALOHA Algorithm for Fast Tag Collection in an Active RFID System," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 9, pp. 598-605, 2014. DOI: .

[ACM Style]

Ji-Tae Kim, Byeong-Gwon Kang, and Kang-Won Lee. 2014. Implementation of Improved Frame Slotted ALOHA Algorithm for Fast Tag Collection in an Active RFID System. The Journal of Korean Institute of Communications and Information Sciences, 39, 9, (2014), 598-605. DOI: .

[KICS Style]

Ji-Tae Kim, Byeong-Gwon Kang, Kang-Won Lee, "Implementation of Improved Frame Slotted ALOHA Algorithm for Fast Tag Collection in an Active RFID System," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 9, pp. 598-605, 9. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880