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http://dx.doi.org/10.6109/jkiice.2008.12.9.1569

Optimal Frame Size Allocation Mechanism for Fast Tag Identification in RFID System  

Lim, In-Taek (부산외국어대학교 컴퓨터공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.12, no.9, 2008 , pp. 1569-1574 More about this Journal
Abstract
Almost all the RFID systems in the 13.56MHz ISM band adopt the FSA algorithm as the anti-collision algorithm. The FSA algorithm is based on the slotted ALOHA with a fixed frame size. The FSA, though simple, has a disadvantage that when the number of tags is variable, the system performance degrades because of the fixed frame size. Therefore, this paper proposes a new OFSA. The proposed OFSA algorithm dynamically allocates the optimal frame size at every frame based on the number of tags in the reader's identification range. According to the simulation results, the system efficiency of the proposed algorithm should be maintained optimally. Also, the proposed algorithm always obtained the minimum tag identification delay.
Keywords
RFID; Anti-collision algorithm; Frame size allocation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 W. Chen, and G. Lin, "An Efficient Anti-Collision Method for Tag Identification in a RFID System," IEICE Trans Commun., vol.E89-B, no.12, pp.3386-3392, Dec. 2006   DOI
2 H. Vogt, "Efficient Object Identification with Passive RFID Tags," First International Conf. on Pervasive Computing, LNCS, vol.2414, pp.99-113, Springer-Verlag, 2002
3 M. A. Bonucelli, F. Lonetti, and F. Martelli, "Instant Collision Resolution for Tag Identification in RFID Networks," Ad Hoc Networks, vol.5, pp.1220-1232, 2007   DOI   ScienceOn
4 임인택, 최진오, "RFID 시스템에서 고속 태그 식별을 위한 동적 FSA 알고리즘," 한국해양정보통신학회 논문지, 제10권 제5호, pp.806-811, 2006.5   과학기술학회마을
5 Auti-ID Center, "13.56MHz ISM Band Class 1 Rafio Frequency Identificatin Tag Interface Specification: Candidate Recommendation, Version 1.0.0," May 2003
6 K. Finkenzeller, RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification, Carl Hanser Verlag GmbH & Co., 2002