Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Efficient Object Identification with Passive RFID Tags
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Batch conflict resolution algorithm with progressively accurate multiplicity estimation
Proceedings of the 2004 joint workshop on Foundations of mobile computing
Transmission control scheme for fast RFID object identification
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Fast and reliable estimation schemes in RFID systems
Proceedings of the 12th annual international conference on Mobile computing and networking
Introduction to Probability Models, Ninth Edition
Introduction to Probability Models, Ninth Edition
Tag-Splitting: Adaptive Collision Arbitration Protocols for RFID Tag Identification
IEEE Transactions on Parallel and Distributed Systems
An empirical study of UHF RFID performance
Proceedings of the 14th ACM international conference on Mobile computing and networking
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The anti-collision mechanism is a very important part in Radio-frequency Identification (RFID) systems. Among all the algorithms, the Framed Aloha based (FA) ones are most widely used due to simplicity and robustness. Previous works mainly focused on the tag population estimation, but determined the reading strategy based on the classical results of Random Access (RA) systems. We show that a new theory is needed for the optimization of the RFID systems as they have characteristics very different from the RA systems. In this paper, We propose a new approach to minimize the total expected reading time by choosing the most suitable frame size based on the tag population distribution. We show that the optimal strategy can be used in different applications. The mathematical analysis and computer simulation show our approach outperforms the previous optimization works in the literature.