A New Covid-19 Tracing Approach using Machine Learning and Drones Enabled Wireless Network

Abstract

<p class="0abstract">The continuous advancements in wireless network systems have reshaped the healthcare systems towards using emerging communication technologies at different levels. This paper makes two major contributions. Firstly, a new monitoring and tracking wireless system is developed to handle the COVID-19 spread problem. Unmanned aerial vehicles (UAVs), i.e., drones, are used as base stations as well as data collection points from Internet of Things (IoT) devices on the ground. These UAVs are also able to exchange data with other UAVs and cloud servers. Secondly, this paper introduces a new reinforcement learning (RL) framework for learning the optimal signal-aware UAV trajectories under quality of service constraints. The proposed RL algorithm is instrumental in making the UAV movement decisions that maximize the signal power at the receiver and the data collected from the ground agents. Simulation experiments confirm that the system overcomes conventional wireless monitoring systems and demonstrates efficiency especially in terms of flexible continues connectivity, line-of sight visibility, and collision avoidance.</p>

Exploiting artificial intelligence for combating COVID-19: a review and appraisal

“…In South Asian nations, widespread temperature checks in public locations were one of the first methods undertaken. As recommended by Alsarhan et al [18] drones may  ISSN: 2302-9285 Bulletin of Electr Eng & Inf, Vol. 12, No.…”

“…Coughing is a significant COVID-19 symptom [16]. Because the goal of the test is not to cure, but to swiftly assess whether more screening and medical treatment are necessary, first-degree triage of a person conducting a cough test via mobile application may be done remotely [17], [18]. This application may help prevent unnecessary hospitalizations and overuse of precious medical resources while also improving access to timely medical treatment.…”

A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine

“…One area of research focuses on integrating drones and Unmanned aerial vehicles (UAVs) into the wireless architecture along with AI systems to predict and combat COVID-19 (Alsarhan et al, 2021). The approach uses thermal imaging cameras on the UAVs to evaluate body temperatures for helping minimize the risk of spreading the infection through close contact (Barnawi et al, 2021;Almalki et al, 2022).…”