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MWagih_RFSensingIoTStrategy_Ice.pdf (4.9 MB)

Towards the Optimal RF Sensing Strategy for IoT Applications: An Ice Sensing Case Study

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posted on 14.07.2021, 11:31 by Mahmoud Wagih, Junjie Shi
Remote ice detection has recently emerged as an application of Radio Frequency (RF) sensors. While RF sensing is a feasible approach used for detecting various stimuli, the optimal system architecture and design strategy for RF-based sensing in future Internet of Things (IoT) systems remains unclear. In this paper, we propose a systematic methodology for designing an RF-based sensing system, applicable to a plethora of IoT applications. The proposed methodology is used to design printable antennas as highly-sensitive sensors for detecting and measuring the thickness of ice, demonstrating best-in-class sensory response. Antenna design is investigated systematically for wireless interrogation in the 2.4 GHz band, to support a variety of IoT protocols. Following the proposed methodology, the antenna's realized gain was identified as the optimum parameter-under-test. The developed loop antenna sensor exhibits a high linearity, resilience to interference, and applicability to different real-world deployment environments, demonstrated through over 90% average ice thickness measurement accuracy and at least 5 dB real-time sensitivity to ice deposition.

Funding

Engineering and Physical Sciences Research Council (EPSRC)

History

Email Address of Submitting Author

mahm1g15@ecs.soton.ac.uk

ORCID of Submitting Author

https://orcid.org/0000-0002-7806-4333

Submitting Author's Institution

University of Southampton

Submitting Author's Country

United Kingdom