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Lookup NU author(s): Peilin Hui, Professor Gui Yun TianORCiD, Professor Jeffrey NeashamORCiD, Dr Kabita AdhikariORCiD
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© 2014 IEEE.Ultrahigh-frequency radio-frequency identification (UHF RFID) sensing systems have emerged as a promising technology for wireless, passive, and cost-effective monitoring applications. However, their performance is highly sensitive to variations in measurement setups, such as tag–reader distance, orientation, and interrogation conditions, which compromise sensing accuracy and severely limit the reliability and robustness of these systems. These challenges are especially pronounced in non-stationary interrogation, such as in robotic pipeline inspections, where mobile crawlers face bends, welds, irregular surfaces, and multipath effects, and in distributed monitoring systems with multiple tag positions. Conventional approaches based on raw received signal strength indicator (RSSI) or turn-on power remain tightly coupled to setup variations, leading to unreliable sensing. To overcome this, we propose a setup-independent response map-based method that integrates frequency- and power-domain RSSI measurements into a multidimensional signature, from which corrosion-specific features are extracted using PCA and Kernel PCA. A custom UHF RFID tag was developed and validated under six varying tag–reader setups and six different corrosion conditions for undercoating corrosion detection. Compared with the state-of-the-art analog identifier (AID) method, the proposed approach achieves significantly higher stability (average CV 0.4483 vs. 1.0783), tighter feature clustering (variance 0.0750 vs. 0.1235), and a fivefold reduction in measurement time. These results demonstrate a robust, efficient, and practical solution for high-fidelity, setup-independent UHF RFID-based sensing, ensuring reliable non-stationary and distributed monitoring for advanced industrial applications.
Author(s): Hui P, Tian GY, Neasham J, Adhikari K
Publication type: Article
Publication status: Published
Journal: IEEE Internet of Things Journal
Year: 2026
Pages: epub ahead of print
Online publication date: 25/03/2026
Acceptance date: 02/04/2018
ISSN (electronic): 2327-4662
Publisher: Institute of Electrical and Electronics Engineers Inc.
URL: https://doi.org/10.1109/JIOT.2026.3677562
DOI: 10.1109/JIOT.2026.3677562
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