A Drone-based Networked System and Methods for Combating Coronavirus Disease (COVID-19) Pandemic
Adarsh Kumar, Kriti Sharma, Harvinder Singh, Sagar Gupta Naugriya,, Sukhpal Singh Gill, and Rajkumar Buyya

TL;DR
This paper presents a drone-based system architecture utilizing wearable sensors and real-time data collection to enhance COVID-19 pandemic response, especially in congested or connectivity-challenged areas, demonstrating effective sanitization and patient monitoring.
Contribution
It proposes a novel drone-based architecture integrating wearable sensors and simulation strategies for pandemic management in diverse scenarios.
Findings
Large area coverage for sanitization and monitoring within 10 minutes.
Effective data collection in remote and congested areas with connectivity issues.
Collision-resistant strategies improve indoor and outdoor healthcare operations.
Abstract
Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is similar to influenza viruses and raises concerns through alarming levels of spread and severity resulting in an ongoing pandemic worldwide. Within eight months (by August 2020), it infected 24.0 million persons worldwide and over 824 thousand have died. Drones or Unmanned Aerial Vehicles (UAVs) are very helpful in handling the COVID-19 pandemic. This work investigates the drone-based systems, COVID-19 pandemic situations, and proposes an architecture for handling pandemic situations in different scenarios using real-time and simulation-based scenarios. The proposed architecture uses wearable sensors to record the observations in Body Area Networks (BANs) in a push-pull data fetching mechanism. The proposed architecture is found to be useful in remote and highly congested pandemic…
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