Surveillance, Reconnaissance and Detection Services for Disaster Operations of IoT-Based eVTOL UAVs with Swarm Intelligence

Abstract

This study offers a swarm system solution of a fully autonomous electric vertical take-off and landing (eVTOL) rotary wing unmanned aerial vehicles (UAV) providing optimum level of telecommunication service, communication and formation skills, casualty detection, and transportation in a natural disaster scenario in a region with areas where GPS data is corrupted. It is ensured that the swarm UAV system, which follows the guide UAV in the disaster area by taking different formations and maintains these formations in case of GPS interruptions, makes the necessary observations through embedded cameras. Moreover, in line with the decisions to be made by the system, it provides telecommunication services to as many users as possible for as long as possible with its mobile base stations and transporting the injured to suitable regions. In order to provide information to users with smart devices that support IoT, necessary information and services can be transferred to users via connector UAVs by establishing a connection between the ground station and swarm UAVs. A secure communication network is provided in response to security risks that may occur while the UAVs in the swarm communicate throughout the mission. In addition to the system working together in different formations and broken GPS situations throughout the mission, communication limits are reduced in the insecure area between the swarm and the connector UAV, where communication cannot be achieved, and the unsafe interval is minimized.