Publication: An efficient ALOHA based collision resolution algorithm for RFID
2
Issued Date
2020-01-01
Resource Type
Other identifier(s)
2-s2.0-85083482804
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
2020 International Conference on Electronics, Information, and Communication, ICEIC 2020. (2020)
Suggested Citation
S. K. Wijayasekara, M. Saadi, T. Sriprasert, P. Sasithong, K. Panyim, M. Pengnoo, L. Wuttisittikulkij An efficient ALOHA based collision resolution algorithm for RFID. 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020. (2020). doi:10.1109/ICEIC49074.2020.9051190 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/56166
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
An efficient ALOHA based collision resolution algorithm for RFID
Abstract
© 2020 IEEE. This paper describes a frame-based anti-collision algorithm which is compatible with the current RFID standard of EPCglobal Gen-2 that employs a frame slotted ALOHA approach to detect the tags. The proposed algorithm is derived from the existing tree-based algorithm, called Bayesian Estimation based Modified Dynamic Tree (BE-MDT) [1]. We also derived a mathematical model for our proposed algorithm. The outcomes from the given numerical model and simulation verify that the proposed method accomplishes a higher system efficiency and time system efficiency in tag identification and outperforming the currently employed conventional frame-based collision resolution algorithm in EPCglobal Gen-2 standard.