Deployment method of UAVs with energy constraint for multiple tasks

This reported work addresses the deployment problem of unmanned aerial vehicles (UAVs) for multiple scattered tasks. The objective is to minimise the duration of all UAVs in reaching their assigned task locations so that the overall time needed to accomplish a mission is minimised. Taking speed and energy constraints into account, it is advantageous to transport UAVs by a large-scale ground vehicle in the shortest time. However, computation of the deployment points requires too much time for an optimal operation to accomplish a task. Therefore, an approximate solution is pursued by an algorithm for efficient deployment. The feasibility of the proposed algorithm is demonstrated through simulations.