Design of an Improved Anti-Collision Unit for an RFID Reader System Based on Gen2 


Vol. 34,  No. 2, pp. 177-183, Feb.  2009


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  Abstract

In this paper, we propose an improved anti-collision algorithm. We have designed an anti-collision unit using this algorithm for the 18000-6 Type C Class 1 Generation 2 standard (Gen2). The Gen2 standard uses a Q-algorithm for incremental method on the Dynamic Slot-Aloha algorithm. It has basically enhanced performance over the Slot-Aloha algorithm. Unfortunately, there are several non-clarified parts: initial Qfp value, weighted C, and the ending point of the algorithm. If an incorrect value is selected, it causes degradation in performance. Thus we propose an improved anti-collision algorithm by clearly defining the vague parts of the existing algorithm. Simulation results showed an improved performance of up to 34.8% using an optimized value of C and the initial Qfp value. With the ending condition, performance is 34.7%. The anti-collision unit is designed using the Verilog HDL. The module was synthesized using Synopsys’ Design Compiler and the TSMC 0.25㎛ standard cell library. The synthesized result yielded 3,847 gates, and was guaranteed under the proposed working frequency of 19.2MHz.

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  Cite this article

[IEEE Style]

J. Sim, Y. Lee, Y. Lee, "Design of an Improved Anti-Collision Unit for an RFID Reader System Based on Gen2," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 2, pp. 177-183, 2009. DOI: .

[ACM Style]

Jae-Hee Sim, Yong-Joo Lee, and Yong-Surk Lee. 2009. Design of an Improved Anti-Collision Unit for an RFID Reader System Based on Gen2. The Journal of Korean Institute of Communications and Information Sciences, 34, 2, (2009), 177-183. DOI: .

[KICS Style]

Jae-Hee Sim, Yong-Joo Lee, Yong-Surk Lee, "Design of an Improved Anti-Collision Unit for an RFID Reader System Based on Gen2," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 2, pp. 177-183, 2. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880