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
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
Probabilistic Dynamic Framed Slotted ALOHA for RFID Tag Identification
Wireless Personal Communications: An International Journal
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The anti-collision mechanism is an important part in Radio-frequency Identification (RFID) technology. Recently, many anti-collision algorithms were designed based on the EPCglobal standards. These works mainly focused on the tag population estimation. But they chose frame size 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. We model the reading process as a Markov Chain and derive the optimal reading strategy through first-passage-time analysis. We show that the optimal strategy can be easily incorporated into the EPCglobal standards to give significant performance improvement.