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NIAP: A Neighbor Information based Multichannel RFID Reader Anti-collision Protocol

Published: 02 May 2022 Publication History

Abstract

Reader collisions may occur when readers interrogate tags simultaneously due to mutual interference in Radio Frequency IDentification (RFID) systems. Many state-of-the-art protocols are devoted to eliminate reader collisions to pursue high throughput. This paper proposes a Neighbor Information based multichannel RFID reader Anti-collision Protocol (NIAP). In terms of competition strategy, the competition priority of a reader is determined by its number of neighbor readers based on the solving maximum independent sets algorithm. With regard to channel switching strategy, a reader which wants to switch to a new channel judges the severity of the reader-to-tag collisions according to the distance from the interrogating neighbor reader. Eligible reader-to-tag collisions are allowed to occur considering the coverage of readers. The simulation results show the proposed NIAP outperforms the other multichannel protocols.

References

[1]
Y. Zheng, S. Qiu, F. Shen and C. He. 2020. RFID-based material delivery method for mixed-model automobile assembly. Comput. Ind. Eng. 139, (January 2020), 1-13. https://doi.org/10.1016/j.cie.2019.106023
[2]
A. Abdelnour, F. Buchin, D. Kaddour and S. Tedjini. 2018. Improved traceability solution based on UHF RFID for cheese production sector. IEEE J. Radio Frequency Identification. 2, 2, (June 2018), 68-72. https://doi.org/10.1109/JRFID.2018.2847241
[3]
K. Fan, W. Jiang, H. Li and Y. Yang. 2018. Lightweight RFID protocol for medical privacy protection in IoT. IEEE Trans. Ind. Inform. 14, 4, (April 2018), 1656-1665. https://doi.org/10.1109/TII.2018.2794996
[4]
B. Bergquist and E. Vanhatalo. 2020. In-situ measurement in the iron ore pellet distribution chain using active RFID technology. Powder Technol. 361, (February 2020), 791-802. https://doi.org/10.1109/JRFID.2018.2847241
[5]
L. Gao, L. Zhang, F. Lin and M. Ma. 2019. Secure RFID authentication schemes based on security analysis and improvements of the USI protocol. IEEE Access 7, (January 2019), 8376-8384. https://doi.org/10.1109/ACCESS.2018.2890282
[6]
Z. Meng, Z. Wu and J. Gray. 2019. RFID-based object-centric data management framework for smart manufacturing applications. IEEE Internet Things J. 6, 2, (April 2019,), 2706-2716. https://doi.org/10.1109/JIOT.2018.2873426
[7]
J. Zhang, Y. Lyu, J. Patton, S. C. G. Periaswamy and T. Roppel. 2018. BFVP: A probabilistic UHF RFID tag localization algorithm using bayesian filter and a variable power RFID model. IEEE Trans. Ind. Electron. 65, 10, (October 2018), 8250-8259. https://doi.org/10.1109/TIE. 2018.2803720
[8]
M. V. Bueno-Delgado, R. Ferrero, F. Gandino, P. Pavon-Marino and M. Rebaudengo. 2013. A geometric distribution reader anti-collision protocol for RFID dense reader environments. IEEE Trans. Autom. Sci. Eng., 10, 2, (April 2013), 296-306. https://doi.org/10.1109/ TASE.2012.2218101
[9]
M. Golsorkhtabaramiri and N. Issazadehkojidi. 2017. A distance based RFID reader collision avoidance protocol for dense reader environments. Wirel. Pers. Commun. 95, (January 2017), 1781-1798. https://doi.org/10.1007/s11277-016-3918-0
[10]
A. Assarian, A. Khademzadeh, M. HosseinZadeh and S. Setayeshi. 2018. A beacon analysis-based RFID reader anti-collision protocol for dense reader environments. Comput. Commun. 128, (September 2018), 18-34. https://doi.org/10.1016/j.comcom.2018.06.006
[11]
H. Rezaie, M. Golsorkhtabaramiri. 2017 A fair reader collision avoidance protocol for RFID dense reader environments. Wirel. Netw. 24, (January 2017), 1953-1964. https://doi.org/10.1007/s11276-017-1447-8
[12]
Z. Li, G. He, D. Xu and S. Wang. 2020. Evaluation of centralized reader anti-collision protocols for mobile RFID system based on maximum independent set: a simulation study. IEEE Access, 8, (July 2020), 123381-123397. https://doi.org/10.1109/ ACCESS.2020.3006162
[13]
M. Goldberg, D. Hollinger, and M. Magdon-Ismail. 2005. Experimental evaluation of the greedy and random algorithms for finding independent sets in random graphs. In Proceedings of the 4th International Conference on Experimental and Efficient Algorithms (WEA'05). Berlin, 513–523. https://doi.org/10.1007/11427186_44
[14]
G. Khandelwal, A. Yener, K. Lee and S. Serbetli. 2006. ASAP: A MAC protocol for dense and time constrained RFID systems. in Proc. 2006 Int. Conf. Commun., Istanbul, 4028-4033. https://doi.org/10.1109/ICC.2006.255711

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ICIIT '22: Proceedings of the 2022 7th International Conference on Intelligent Information Technology
February 2022
137 pages
ISBN:9781450396172
DOI:10.1145/3524889
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 May 2022

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Author Tags

  1. Maximum independent set
  2. Neighbor information
  3. Radio frequency identification
  4. Reader collision problems

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