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A Novel RFID Localization Approach to Smart Self-Service Borrowing and Returning System

Siguo Bi1, Cong Wang1, Jiajie Shen1, Wang Xiang1, Wei Ni2, Xin Wang1, Bochun Wu1,*, Yi Gong1,3,*
1 Fudan University, Shanghai, 200433, China
2 Commonwealth Scientific and Industrial Research Organization, Sydney, 2122, Australia
3 Zhengzhou University of Industrial Technology, Zhengzhou, 451100, China
* Corresponding Authors: Bochun Wu. Email: ; Yi Gong. Email:
(This article belongs to this Special Issue: Models of Computation: Specification, Implementation and Challenges)

Computer Modeling in Engineering & Sciences 2023, 135(1), 527-538. https://doi.org/10.32604/cmes.2022.022298

Received 09 March 2022; Accepted 25 May 2022; Issue published 29 September 2022

Abstract

The misreading problem of a passive ultra-high-frequency (UHF) radio frequency identification (RFID) tag is a frequent problem arising in the field of librarianship. Unfortunately, existing solutions are something inefficient, e.g., extra resource requirement, inaccuracy, and empiricism. To this end, under comprehensive analysis on the passive UHF RFID application in the librarianship scenario, a novel and judicious approach based on RFID localization is proposed to address such a misreading problem. Extensive simulation results show that the proposed approach can outperform the existing ones and can be an attractive candidate in practice.

Keywords

IoT; RFID; passive UHF; tag misreading; librarianship; localization; failure analysis

Cite This Article

Bi, S., Wang, C., Shen, J., Xiang, W., Ni, W. et al. (2023). A Novel RFID Localization Approach to Smart Self-Service Borrowing and Returning System. CMES-Computer Modeling in Engineering & Sciences, 135(1), 527–538.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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