Siljak, Harun and Barros, Michael Taynnan and D'Arcy, Nathan and Martins, Daniel Perez and Marchetti, Nicola and Balasubramaniam, Sasitharan (2022) Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals. IEEE Network, 37 (5). pp. 56-63. DOI https://doi.org/10.1109/mnet.122.2200116
Siljak, Harun and Barros, Michael Taynnan and D'Arcy, Nathan and Martins, Daniel Perez and Marchetti, Nicola and Balasubramaniam, Sasitharan (2022) Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals. IEEE Network, 37 (5). pp. 56-63. DOI https://doi.org/10.1109/mnet.122.2200116
Siljak, Harun and Barros, Michael Taynnan and D'Arcy, Nathan and Martins, Daniel Perez and Marchetti, Nicola and Balasubramaniam, Sasitharan (2022) Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals. IEEE Network, 37 (5). pp. 56-63. DOI https://doi.org/10.1109/mnet.122.2200116
Abstract
The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV- 2 virus. In this article we propose the use of Intelligent Reflector Surface (IRS) and terahertz communication systems to detect violent expiratory aerosol cloud that are secreted from people. Our proposed approach makes use of future IRS infrastructure to extend beyond communication functionality by adding environmental scanning for aerosol clouds. Simulations have also been conducted to analyze the accuracy of aerosol cloud detection based on a signal scanning and path optimization algorithm. Utilizing IRS for detecting violent expiratory aerosol cloud can lead to new added value of telecommunication infrastructures for sensor monitoring data that can be used for public health.
Item Type: | Article |
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Uncontrolled Keywords: | Cloud computing; Aerosols; Absorption; Sensors; Wireless communication; Atmospheric modeling; Attenuation; Terahertz communications; Public healthcare; COVID-19; Viruses (medical); Path planning; Optimization methods; Detection algorithms |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 08 Feb 2023 12:09 |
Last Modified: | 30 Oct 2024 21:13 |
URI: | http://repository.essex.ac.uk/id/eprint/33214 |
Available files
Filename: Applying_Intelligent_Reflector_Surfaces_for_Detecting_Violent_Expiratory_Aerosol_Cloud_using_Terahertz_Signals.pdf