Optimal path planning of mobile ad-hoc sensor network using unmanned aerial vehicles' (UAVs')

In the field of military communication, there is urgent need for mobile ad-hoc network technology (MANET). Unmanned aerial vehicles (UAVs) as the network nodes have been applied to military scene, which is very important in research of sensor network. This technology has become a crucial part of real-time strategic command system. The purpose of this paper is to establish a model of mobile ad-hoc network using UAVs. And this UAVs network can be also called a special military mobile ad-hoc network, based on which, this paper adopted feasible performance metrics modeling method of route optimization problem. Then the above route programming theory developed into running visible software by Visual C++. Genetic Algorithm (GA) is the core of this new software. Finally, the running result verified this route planning's solution is effective in scene of battlefield by this new visible software.