SwiftQ: A Time-Efficient RFID Collision Arbitration Algorithm for Gen2-Based RFID Systems


Donghwan Lee, Wonjun Lee, Journal of Information Processing Systems Vol. 20, No. 3, pp. 307-316, Jun. 2024  

https://doi.org/10.3745/JIPS.03.0198
Keywords: Collision Arbitration, Internet of Things, RFID, Q–Algorithm
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Abstract

In the realm of large-scale identification deployments, the EPCglobal Class-1 Generation-2 (Gen2) standard serves as a cornerstone, facilitating rapid processing of numerous passive RFID tags. The Q–Algorithm has garnered considerable attention for its potential to markedly enhance the efficiency of Gen2-based RFID systems with minimal adjustments. This paper introduces a groundbreaking iteration of the Q–Algorithm, termed Time-Efficient Q–Algorithm (SwiftQ), specifically designed to push the boundaries of time efficiency within Gen2-based RFID systems. Through exhaustive simulations, our study substantiates that SwiftQ outperforms existing algorithms by a significant margin, demonstrating exceptional expediency that positions it as a formidable contender in the landscape of large-scale identification environments. By prioritizing time efficiency, SwiftQ offers a promising solution to meet the escalating demands of contemporary Internet of Things applications, underscoring its potential to catalyze advancements in RFID technology for diverse industrial and logistical contexts.


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Cite this article
[APA Style]
Lee, D. & Lee, W. (2024). SwiftQ: A Time-Efficient RFID Collision Arbitration Algorithm for Gen2-Based RFID Systems. Journal of Information Processing Systems, 20(3), 307-316. DOI: 10.3745/JIPS.03.0198.

[IEEE Style]
D. Lee and W. Lee, "SwiftQ: A Time-Efficient RFID Collision Arbitration Algorithm for Gen2-Based RFID Systems," Journal of Information Processing Systems, vol. 20, no. 3, pp. 307-316, 2024. DOI: 10.3745/JIPS.03.0198.

[ACM Style]
Donghwan Lee and Wonjun Lee. 2024. SwiftQ: A Time-Efficient RFID Collision Arbitration Algorithm for Gen2-Based RFID Systems. Journal of Information Processing Systems, 20, 3, (2024), 307-316. DOI: 10.3745/JIPS.03.0198.