DCNS: An Adaptable High Throughput RFID Reader-to-Reader Anticollision Protocol

The reader-to-reader collision problem represents a research topic of great recent interest for the radio frequency identification (RFID) technology. Among the state-of-the-art anticollision protocols, the ones that provide high throughput often have special requirements, such as extra hardware. Thi...

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Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems Vol. 24; no. 5; pp. 893 - 905
Main Authors: Gandino, F., Ferrero, R., Montrucchio, B., Rebaudengo, M.
Format: Journal Article
Language:English
Published: New York IEEE 01-05-2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:The reader-to-reader collision problem represents a research topic of great recent interest for the radio frequency identification (RFID) technology. Among the state-of-the-art anticollision protocols, the ones that provide high throughput often have special requirements, such as extra hardware. This study investigates new high throughput solutions for static RFID networks without additional requirements. In this paper, two contributions are presented: a new configuration, called Killer, and a new protocol, called distributed color noncooperative selection (DCNS). The proposed configuration generates selfish behavior, thereby increasing channel utilization and throughput. DCNS fully exploits the Killer configuration and provides new features, such as dynamic priority management, which modifies the performance of the RFID readers when it is requested. Simulations have been conducted in order to analyze the effects of the innovations proposed. The proposed approach is especially suitable for low-cost applications with a priority not uniformly distributed among readers. The experimental analysis has shown that DCNS provides a greater throughput than the state-of-the-art protocols, even those with additional requirements (e.g., 16 percent better than NFRA).
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ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2012.208