An Adaptive Multiple Branch Tree Algorithm in RFID

Article Preview

Abstract:

It is quite obvious that multi-branch tree search algorithm could be used for higher identification efficiency in RFID, however the branch number choosing depends on the accurate tag number estimation, which is not so easy to get and often cost much overhead. In this paper, we propose an adaptive multi-branch tree anti-collision algorithm. It begins with a simple initial tag number estimation, and then adaptively adjusts the branch groups afterwards. Simulation results indicate that the proposed algorithm can effectively correct the improper branch number and achieve much better performance than the conventional one.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2821-2824

Citation:

Online since:

March 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] K. Finkenzeller, RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification, 2nd ed. John wiley& Sons, March (2003).

DOI: 10.1145/1005062.1005077

Google Scholar

[2] V. Anatharam, The stability region of the finite-user slotted ALOHA protocol, IEEE Trans. Inform. Theory, vol. 37, no. 3, pp.535-540, May (1991).

DOI: 10.1109/18.79909

Google Scholar

[3] H. Vogt, Efficient object identification with passive RFID tags, in Proc. Int. Conf. Pervasive Computing, 2002, pp.98-113.

DOI: 10.1007/3-540-45866-2_9

Google Scholar

[4] F. C. Schoute, Dynamic frame length ALOHA, IEEE Trans. Commun., vol. 31, no. 4, p.565–568, Apr. (1983).

DOI: 10.1109/tcom.1983.1095854

Google Scholar

[5] Parameters for Air Interface Communications at 860 MHZ to 960 MHz Information Technology-Radio Frequency Identification for Item Management, 2005, ISO/IEC 18000-6, Part 6.

DOI: 10.3403/30165876

Google Scholar

[6] D. R. Hush and C. Wood, Analysis of tree algorithms for RFID arbitration, in Proc. IEEE Int. Symp. Information Theory, 1998, pp.107-107.

Google Scholar

[7] S.R. Lee, S.D. Joo, and C.W. Lee, An enhanced dynamic framed slotted ALOHA algorithm for RFID tag identification, in Proc. Inf. Mobile and Ubiquitous Systems: Networking and Services, 2005, pp.166-172.

DOI: 10.1109/mobiquitous.2005.13

Google Scholar

[8] M. A. Bonuccelli, F. Lonetti, and F. Martelli, Tree slotted aloha: a new protocal for tag identification in RFID networks, in Proc. Int. Symp. World of Wireless, Mobile and Multimedia Networks, 2006, pp.603-608.

DOI: 10.1109/wowmom.2006.112

Google Scholar

[9] Y. h. Cui; Y. p. Zhao, Performance Evaluation of a Multi-Branch Tree Algorithm in RFID,. IEEE Trans. on Communication, May 2010. Vol. 58, No. 5, pp.1356-1364.

DOI: 10.1109/tcomm.2010.05.080611

Google Scholar