Exploration and Sterilization Coronavirus in Air based on Unmanned Aerial Vehicles

In recent years, the academic and industrial science community has shown great interest in the Internet of Things and the decentralization of Blockchain networks, particularly in smart cities and emerging communities. Unmanned Aerial Vehicles (UAVs) have gained significant attention in military and commercial systems, serving as emergency transport during natural disasters and epidemics such as the Coronavirus pandemic. In such scenarios, the use of Ad-Hoc wireless networks to cover large areas can be more secure if implemented as a shared database, such as Blockchain. This paper suggests the Unmanned Aerial Vehicles as a solution for the location and sterilization of coronavirus contaminated areas. Thus, one of these aerial vehicles will locate the infected area and update its spatial data block. Also, the surrounded aerial vehicles comply with this modification and change their location information in the Blockchain to pursue the target location, and together start to spray sterilizer. To improve localization accuracy, a swarm intelligence algorithm is employed, while Blockchain technology serves as a decentralized database for clusterization of other UAVs. Through realistic studies and analyses of localization and clusterization, the proposed method proves effective in locating and sterilizing polluted air regions. Additionally, this database technique provides a higher level of security, making it challenging to attack. Ultimately, this research contributes to the advancement of emergency transport networks, Blockchain technology, and IoT services.