Simulation and Optimization of a Swarm of Unmanned Aerial Vehicles

The development of unmanned aerial vehicles can be regarded as a promising direction of modern aviation. They have significantly reduced dimensional characteristics, if compared with traditional aircraft. It is also possible to form unmanned aerial vehicles, which are aimed at performing corresponding tasks. It takes less time to train a specialist to fly an unmanned aerial vehicle compared to conventional pilots. The work is related to the creation of mathematical models that allow an integral way to evaluate the effectiveness and conduct cluster structuring of a swarm of wireless aircraft. At the same time, there are opportunities to take into account the limited resources, to carry out redistribution of resources. Resources are distributed among clusters, and the principle of inverse priorities has to be applied. After that, the distribution over the drones of the network structure that has been optimized is implemented. Monitoring information is used. The main stages of solving the problem, which are based on optimization procedures, are shown.