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A Drone-based Networked System and Methods for Combating Coronavirus Disease (COVID-19) Pandemic

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Document pages: 27 pages

Abstract: Coronavirus disease (COVID-19) is an infectious disease caused by a newlydiscovered coronavirus. It is similar to influenza viruses and raises concernsthrough alarming levels of spread and severity resulting in an ongoing pandemicworldwide. Within eight months (by August 2020), it infected 24.0 millionpersons worldwide and over 824 thousand have died. Drones or Unmanned AerialVehicles (UAVs) are very helpful in handling the COVID-19 pandemic. This workinvestigates the drone-based systems, COVID-19 pandemic situations, andproposes an architecture for handling pandemic situations in differentscenarios using real-time and simulation-based scenarios. The proposedarchitecture uses wearable sensors to record the observations in Body AreaNetworks (BANs) in a push-pull data fetching mechanism. The proposedarchitecture is found to be useful in remote and highly congested pandemicareas where either the wireless or Internet connectivity is a major issue orchances of COVID-19 spreading are high. It collects and stores the substantialamount of data in a stipulated period and helps to take appropriate action asand when required. In real-time drone-based healthcare system implementationfor COVID-19 operations, it is observed that a large area can be covered forsanitization, thermal image collection, and patient identification within ashort period (2 KMs within 10 minutes approx.) through aerial route. In thesimulation, the same statistics are observed with an addition ofcollision-resistant strategies working successfully for indoor and outdoorhealthcare operations. Further, open challenges are identified and promisingresearch directions are highlighted.

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