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>
Highlights
The most important step in the fight against COVID-19 pandemic is to prevent the spread of the disease [1]
We find that using wireless contact tracing (WCT) for contact tracing becomes less efficient if the performance of wireless network is degraded due to the network congestion
A new Internet of Things (IoT)-based healthcare networked system has been developed to monitor the spread of covid-19
Summary
The most important step in the fight against COVID-19 pandemic is to prevent the spread of the disease [1]. IoT devices are traced in our system to identify persons who contact infected person They are used for collecting data and exchanging information with mesh routers (i.e. MRs). CT is carried out on the ground and the collected data is sent to UAVs. In order to cope with the limitations of the conventional wireless monitoring system, our contact tracing system made up of ground sensors and UAVs. Ground sensors (i.e. IoT devices) monitor the people in crowded places and acquiring information in an intelligent manner. The system offers an efficient and reliable connectivity that enables decision-makers to take preventative action for breaking the chains of COVID-19 transmission by exchanging warning messages to inform the contacts of infected cases as quickly as possible about the risk of infection, in order to take the right steps in a timely manner. The paper is concluded and future research directions are given
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