Chipless RFID Sensory Array for IoT Dielectric Sensing and Material Characterization

Accurate dielectric constant measurements are crucial in Internet of Things (IoT) sensing applications to characterize materials and their properties. This article introduces an innovative capacitor-based chipless radio frequency identification (RFID) sensory array tailored specifically for precise...

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Bibliographic Details
Published in:IEEE internet of things journal 2024-01, Vol.11 (24), p.40278-40292
Main Authors: Lasantha, Likitha, Khan, Shahed I., Ray, Biplob, Karmakar, Nemai C., Masoumi, Hossein, Josh, Matthew
Format: Article
Language:English
Subjects:
Capacitors
Chipless radio frequency identification (RFID)
Dielectric constant
Dielectric measurement
Inductance
Internet of Things
Internet of Things (IoT)
Network analysers
Radio frequency identification
relative permittivity
Resonators
Semiconductor device measurement
Sensor arrays
Sensors
sensory tag
Walabot
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Summary:Accurate dielectric constant measurements are crucial in Internet of Things (IoT) sensing applications to characterize materials and their properties. This article introduces an innovative capacitor-based chipless radio frequency identification (RFID) sensory array tailored specifically for precise measurements of dielectric constants in IoT contexts. The array incorporates Pi-shaped resonators and cylindrical capacitors, addressing challenges, such as low accuracy, limited \varepsilon _{r} measuring range, and the reliance on bulky vector network analyzers (VNAs) as readers. Theoretical modeling, design considerations, sensor calibration, and validation processes are detailed, highlighting the array's precision and adaptability. Real-world IoT applications are demonstrated, showcasing the array's potential with a low-cost portable multiple-input-multiple-output (MIMO) reader, Walabot. This cost-effective solution overcomes conventional limitations, offering a versatile approach to dielectric constant measurements and opening up new possibilities for diverse IoT sensing applications. The integration of this sensory array with IoT technologies demonstrates the feasibility of smarter material characterization.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2024.3450840