Autonomous coordinated flying for groups of communications UAVs

We describe a study that compares two methods to generate coordinated flying trajectories for a group of unmanned aerial vehicles. The vehicles are required to form and maintain an adaptive aerial network backbone over multiple independent mobile ground-based units. The first method is based on the use of evolutionary algorithms. The second methods looks at this coordination problem as a non-cooperative game and finds solution using Game Theory approach. The main objective of both methods is to maximise the network coverage, i.e., the number of mobile ground-based units that have access to the network backbone, by utilising the available power for communication efficiently.