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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 5/2015

01-10-2015 | Original Article

Methods of selection and identification of RFID tags

Authors: Laura Hervert-Escobar, Neale R. Smith, José Ramón Rodríguez-Cruz, Leopoldo Eduardo Cárdenas-Barrón

Published in: International Journal of Machine Learning and Cybernetics | Issue 5/2015

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Abstract

Radio frequency identification (RFID) is a technology with numerous benefits in applications where objects have to be identified automatically. However, cost, fragile tags, collision and reading errors are some of issues to be concerned with in an RFID implementation. Mainly, this paper proposes a method for tag identification and a method for the selection of the binary codes to program on the tags in order to facilitate the identification process. For the identification method a heuristic based on Hamming distance is developed where the basic idea is to utilize the information obtained in consecutive read attempts to help identify a tag. For the selection method three models based on Hamming distance are also developed which strive to find the set with the greatest dissimilarity among the codes. Computer simulations are performed to verify the validity of the proposed methods.
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Metadata
Title
Methods of selection and identification of RFID tags
Authors
Laura Hervert-Escobar
Neale R. Smith
José Ramón Rodríguez-Cruz
Leopoldo Eduardo Cárdenas-Barrón
Publication date
01-10-2015
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 5/2015
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-015-0399-5

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