ALOHA-type Anti-collision Algorithms Using Tag Estimation Method in RFID system 


Vol. 30,  No. 9, pp. 814-821, Sep.  2005


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  Abstract

When there are many tags using the same frequency around the reader in RFID system, they disturb each other and in the end their response cannot be received by the reader. To solve this disturbance and fast identify the tags, the anti-collision algorithm, which is the core technology in RFID system, is needed. We propose two ALOHA-type Dynamic Framed Slotted ALOHA(DFS-ALOHA) algorithms using Dynamic Slot Allocation(DSA), which dynamically allocates the frame size in accordance with the number of tags and Tag Estimation Method(TEM), which estimates the number of tags around the reader. We also compare the performance of the proposed DFS-ALOHA algorithms with that of the conventional Framed Slotted ALOHA (FS-ALOHA) algorithms and the algorithms proposed by Vogt using OPNET simulation. According to the analysis, the two proposed DFS-ALOHA algorithms(DFS-ALOHA I and DFS-ALOHA II) show better performance than the conventional ALOHA-based algorithms regardless of the number of tags. Although the two proposed DFS-ALOHA algorithms show the similar performance, DFS-ALOHA II is better because it is easier to be implemented in the system and the complexity is lower.

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  Cite this article

[IEEE Style]

J. Cha and J. Kim, "ALOHA-type Anti-collision Algorithms Using Tag Estimation Method in RFID system," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 9, pp. 814-821, 2005. DOI: .

[ACM Style]

Jae-Ryong Cha and Jae-Hyun Kim. 2005. ALOHA-type Anti-collision Algorithms Using Tag Estimation Method in RFID system. The Journal of Korean Institute of Communications and Information Sciences, 30, 9, (2005), 814-821. DOI: .

[KICS Style]

Jae-Ryong Cha and Jae-Hyun Kim, "ALOHA-type Anti-collision Algorithms Using Tag Estimation Method in RFID system," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 9, pp. 814-821, 9. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880