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Chipless RFID Sensors for IoT Sensing and Potential Applications in Underground Mining-A Review

Journal

IEEE SENSORS JOURNAL
Volume 23, Issue 9, Pages 9033-9048

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2023.3259973

Keywords

Sensors; Radiofrequency identification; Internet of Things; Resonators; Data mining; Wireless sensor networks; Wireless communication; Chipless RFID sensors; Internet of Things (IoT); radio frequency identification (RFID); sensory tag; underground mining

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Chipless RFID sensors have great potential for underground mining applications due to their ability to meet all the requirements of wireless communication, maintenance-free operation, long lifespan, and battery-free functioning in harsh underground environments. This article analyzes existing chipless RFID sensor technologies in the frequency domain to assess their suitability for applications including environmental condition monitoring, support system stability detection, and health monitoring of mining structures. Based on this analysis, a new classification based on sensing materials and intrinsic sensing parameters is presented, taking into account accuracy, performance, and readability using 3-D electromagnetic analysis software. The article concludes by identifying challenges for future research in the underground mining application domain of chipless RFID sensors.
Chipless radio frequency identification (RFID) sensors have enormous potential for underground mining applications since this technology has the potential to meet all the requirements, such as wireless communication, maintenance-free, long lifespan, and battery-free, required to deploy in harsh underground environments. This article has analyzed existing frequency domain chipless RFID sensor technologies to understand suitability for potential applications, such as environmental condition monitoring, support system stability detection, and health monitoring of mining structures in underground mining sites. In light of the analysis, this article has presented a new classification based on sensing materials and intrinsic sensing parameters, such as effective length, coupling, conductivity, and permittivity. Furthermore, the analysis has considered accuracy, performance, and readability using 3-D electromagnetic (EM) analysis software, CST Studio Suite. Finally, based on our critical analysis and experimental simulations, this article has identified challenges that need to be addressed by future research for chipless RFID sensors in the underground mining application domain.

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