Distributed Efficient & Fair Anticollision for RFID Protocol

Abdoul Aziz Mbacké 1, 2 Nathalie Mitton 1 Hervé Rivano 2
1 FUN - Self-organizing Future Ubiquitous Network
Inria Lille - Nord Europe
2 URBANET - Réseaux capillaires urbains
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : RFID technology suffers from a recurring issue: the reader-to-reader collision. Numerous protocols have been proposed to attempt to reduce them, but, remaining reading errors still heavily impact the performances and fairness of dense RFID deployments. This paper introduces a new Distributed Efficient & Fair Anticollision for RFID (DEFAR) protocol. It reduces both monochannel and multichannel collisions as well as interference by a factor of almost 90% in comparison with the best state of the art protocols. The fairness of the medium access among the readers is improved to a 99% level. Such improvements are achieved applying a TDMA-based "server-less" approach and assigning different priorities to readers depending on their behavior over precedent rounds. A distributed reservation phase is organized between readers with at least one winning reader afterwards. Then, multiple reading phases occur within a single frame in order to obtain fast coverage and high throughput. The use of different reader priorities based on reading behaviors of previous frames also contributes to improve both fairness and efficiency. Simulation results show the robustness of the proposed solution in terms of different metrics such collision avoidance, fairness and coverage and in comparison with a centralized literature solution.
Keywords : RFID Radio Frequency Identification reader anticollision problem MAC layer resource allocation distributed systems mobile systems
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Submitted on : Friday, October 21, 2016 - 3:59:26 PM
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Abdoul Aziz Mbacké, Nathalie Mitton, Hervé Rivano. Distributed Efficient & Fair Anticollision for RFID Protocol. WiMob 2016 - IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications, Oct 2016, New York, United States. ⟨hal-01351350⟩

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