An efficient ALOHA based collision resolution algorithm for RFID

• Main Authors: S. K. Wijayasekara, M. Saadi, T. Sriprasert, P. Sasithong, K. Panyim, M. Pengnoo, L. Wuttisittikulkij
• Other Authors: University of Central Punjab
• Format: Conference or Workshop Item
• Published: 2020
• Subjects: Computer Science; Decision Sciences; Engineering
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/56166
• Institution: Mahidol University

© 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.