RFID Anticollision in Dense Mobile Environments

Abstract : The popularization of RFID systems has conducted to large deployments of RFID solutions in various areas under different criteria. However, such deployments, specially in dense environments, can be subject to RFID collisions which in turn affect the quality of readings. In this paper we propose two distributed and efficient solutions for dense mobile deployments of RFID systems. mDEFAR is an adaptation of a previous work highly performing in terms of collisions reduction, efficiency and fairness in dense static deployments. CORA is more of a locally mutual solution where each reader relies on its neighborhood to enable itself or not. Using a beaconing mechanism, each reader is able to identify potential (non-)colliding neighbors in a running frame and as such chooses to read or not. Performance evaluation shows high performance in terms of coverage delay for both proposals quickly achieving 100% coverage depending on the considered use case while always maintaining consistent efficiency levels above 70%. Compared to GDRA, our solutions proved to be better suited for highly dense and mobile environments, offering both higher throughput and efficiency. The results reveal that depending on the application considered, choosing either mDEFAR or CORA helps improve efficiency and coverage delay.
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Communication dans un congrès
WCNC 2017 - IEEE Wireless Communications and Networking Conference, Mar 2017, San Francisco, United States. 2017, <http://wcnc2017.ieee-wcnc.org/>
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https://hal.inria.fr/hal-01418170
Contributeur : Abdoul Aziz Mbacke <>
Soumis le : mercredi 8 février 2017 - 11:40:46
Dernière modification le : vendredi 15 septembre 2017 - 01:10:18
Document(s) archivé(s) le : mardi 9 mai 2017 - 12:49:10

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  • HAL Id : hal-01418170, version 1

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Abdoul Aziz Mbacké, Nathalie Mitton, Hervé Rivano. RFID Anticollision in Dense Mobile Environments. WCNC 2017 - IEEE Wireless Communications and Networking Conference, Mar 2017, San Francisco, United States. 2017, <http://wcnc2017.ieee-wcnc.org/>. <hal-01418170>

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