Publication:
An efficient ALOHA based collision resolution algorithm for RFID

dc.contributor.authorS. K. Wijayasekaraen_US
dc.contributor.authorM. Saadien_US
dc.contributor.authorT. Sripraserten_US
dc.contributor.authorP. Sasithongen_US
dc.contributor.authorK. Panyimen_US
dc.contributor.authorM. Pengnooen_US
dc.contributor.authorL. Wuttisittikulkijen_US
dc.contributor.otherUniversity of Central Punjaben_US
dc.contributor.otherChulalongkorn Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherGeneral Sir John Kotelawela Universityen_US
dc.date.accessioned2020-06-02T04:29:46Z
dc.date.available2020-06-02T04:29:46Z
dc.date.issued2020-01-01en_US
dc.description.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.en_US
dc.identifier.citation2020 International Conference on Electronics, Information, and Communication, ICEIC 2020. (2020)en_US
dc.identifier.doi10.1109/ICEIC49074.2020.9051190en_US
dc.identifier.other2-s2.0-85083482804en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/56166
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85083482804&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.subjectDecision Sciencesen_US
dc.subjectEngineeringen_US
dc.titleAn efficient ALOHA based collision resolution algorithm for RFIDen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85083482804&origin=inwarden_US

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