LDFSA: a learning-based dynamic framed slotted ALOHA for collision arbitration in active RFID systems

Authors:
Hyuntae Cho;Woonghyun Lee;Yunju Baek
Affiliations:
Department of Computer Science and Engineering, Pusan National University, Busan, Republic of Korea;Department of Computer Science and Engineering, Pusan National University, Busan, Republic of Korea;Department of Computer Science and Engineering, Pusan National University, Busan, Republic of Korea
Venue:
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Year:
2007

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Abstract

In recent large scale deployment of active RFID systems has been introduced by many applications, but a variety of critical issues remain unresolved. Especially, the impact of collision is the most essential problem. In this paper, we propose a Learning-based Dynamic Framed Slotted ALOHA algorithm (LDFSA) which mitigates collision from the active RFID tags and complies with international standard, ISO/IEC 18000-7. In addition, this paper includes the performance evaluations of the proposed LDFSA algorithm with the conventional algorithms. According to the result, the proposed LDFSA algorithm shows better performance than other conventional algorithms.