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

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초록

In the realm of large-scale identification deployments, the EPCglobal Class-1 Generation-2 (Gen2) standardserves as a cornerstone, facilitating rapid processing of numerous passive RFID tags. The Q–Algorithm hasgarnered considerable attention for its potential to markedly enhance the efficiency of Gen2-based RFIDsystems 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 efficiencywithin Gen2-based RFID systems. Through exhaustive simulations, our study substantiates that SwiftQoutperforms existing algorithms by a significant margin, demonstrating exceptional expediency that positionsit as a formidable contender in the landscape of large-scale identification environments. By prioritizing timeefficiency, SwiftQ offers a promising solution to meet the escalating demands of contemporary Internet ofThings applications, underscoring its potential to catalyze advancements in RFID technology for diverseindustrial and logistical contexts.

Abstract

In the realm of large-scale identification deployments, the EPCglobal Class-1 Generation-2 (Gen2) standardserves as a cornerstone, facilitating rapid processing of numerous passive RFID tags. The Q–Algorithm hasgarnered considerable attention for its potential to markedly enhance the efficiency of Gen2-based RFIDsystems 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 efficiencywithin Gen2-based RFID systems. Through exhaustive simulations, our study substantiates that SwiftQoutperforms existing algorithms by a significant margin, demonstrating exceptional expediency that positionsit as a formidable contender in the landscape of large-scale identification environments. By prioritizing timeefficiency, SwiftQ offers a promising solution to meet the escalating demands of contemporary Internet ofThings applications, underscoring its potential to catalyze advancements in RFID technology for diverseindustrial and logistical contexts.

참고문헌 (10)

  1. T. Kim, "AnyScatter : eliminating technology dependency in ambient backscatter systems", Proceedings of IEEE Conference on Computer Communications (INFOCOM), pp.287~296 (2020)
  2. "EPC Radio-Frequency Identity Protocols Generation-2 UHF RFID Standard, Release 2.1" (2018)[URL]
  3. J. Myung, "Tag-splitting : adaptive collision arbitration protocols for RFID tag identification", IEEE Transactions on Parallel and Distributed Systems, 18(6), pp.763~775 (2007)[DOI]
  4. D. Lee, "Ubiquitous Intelligence and Computing", pp.23~32 (2007), Springer
  5. W. T. Chen, "A feasible and easy-to-implement anticollision algorithm for the EPCglobal UHF class-1generation-2 RFID protocol", IEEE Transactions on Automation Science and Engineering, 11(2), pp.485~491 (2014)[DOI]
  6. J. Teng, "A fast Q algorithm based on EPC generation-2 RFID protocol", Proceedings of 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), pp.1~4 (2010)
  7. T. F. La Porta, "Anticollision protocols for single-reader RFID systems : temporal analysis and optimization", IEEE Transactions on Mobile Computing, 10(2), pp.267~279 (2011)[DOI]
  8. J. Su, "An effective frame breaking policy for dynamic framed slotted Aloha in RFID", IEEE Communications Letters, 20(4), pp.692~695 (2016)[DOI]
  9. W. T. Chen, "Optimal frame length analysis and an efficient anti-collision algorithm with early adjustment of frame length for RFID systems", IEEE Transactions on Vehicular Technology, 65(5), pp.3342~3348 (2016)[DOI]
  10. J. Su, "A time and energy saving-based frame adjustment strategy(TES-FAS)tag identification algorithm for UHF RFID systems", IEEE Transactions on Wireless Communications, 19(5), pp.2974~2986 (2020)[DOI]

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