A system to coordinate the movement of a group of unmanned aerial vehicles that provide a network backbone over mobile ground-based vehicles with communication needs is presented. Using evolutionary algorithms, the system evolves flying manoeuvres that position the aerial vehicles by fulfilling two key requirements; i) they maximise net coverage and ii) they minimise the power consumption. Experimental results show that the proposed coordination system is able to offer a desirable level of adaptability with respect to the objectives set, providing useful feedback for future research directions.
|Title of host publication
|15th Towards Autonomous Robotic Systems (TAROS 2014)
|M. Mistry, A. Leonardis, M. Witkowski, C. Melhuish
|Number of pages
|Published - 2014
- Evolutionary algorithms, unmanned aerial vehicles, coordination strategies