An Optimal Energy Competent Mission based Collision Avoidance Protocol Scheme for Multi-Rotor UAV’s

Currently, with the advancement of computer control technology, unmanned aerial vehicles (UAVs) have developed greatly. In contrast to the remote manipulation used in the early stages, most UAVs can now fly autonomously. As the number of potential applications for Unmanned Aerial Vehicles (UAVs) keeps rising steadily, the chances that these devices get close to each other during their flights also increases, causing concerns regarding potential collisions. To solve the problem of intercepting a moving target by a multirotor unmanned aerial vehicle (UAV) swarm, an optimal strategy along with clustering strategy is proposed. This paper proposed the Energy Competent-Mission Based Collision Avoidance Protocol (EC-MBCAP) using Adaptive whale optimization approach. The clustering technique is carried using Gradient clustering metric based passive clustering method (GCM-PC). This optimization process is employed so as to enhance and optimize the energy in collision avoidance protocol. Experimental and simulation results demonstrated the validity and effectiveness of the proposed solution, which typically reduces the energy consumption and in turn optimizes the protocol efficiency thereby reducing the collision for each risky situation successfully handled.