S. K. WijayasekaraM. SaadiT. SriprasertP. SasithongK. PanyimM. PengnooL. WuttisittikulkijUniversity of Central PunjabChulalongkorn UniversityMahidol UniversityGeneral Sir John Kotelawela University2020-06-022020-06-022020-01-012020 International Conference on Electronics, Information, and Communication, ICEIC 2020. (2020)2-s2.0-85083482804https://repository.li.mahidol.ac.th/handle/123456789/56166© 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.Mahidol UniversityComputer ScienceDecision SciencesEngineeringConference PaperSCOPUS10.1109/ICEIC49074.2020.9051190