UAV Automation Control System Based on an Intelligent Sensor Network

With the widespread use of UAVs, it is gradually difficult for single UAV to meet needs increasingly complex scenarios. At same time, problems low autonomy and high dependence on control stations in central cluster networks are highlighted. In this paper, we analyze theoretical conditions network topology establishment connectivity, design a series distributed automation algorithm frameworks, achieve certain research results, taking clusters flight self-organizing as background using mathematical tools such algebraic graph theory random geometry build vibration sensor array model based multiple intelligent management. Based this, connectivity maintenance importance nodes designed realize “self-healing” flight’s network. This study also improves Mavlink communication protocol customization Zigbee wireless networking mode solve swarm link collision problem. Compared with existing spectrum estimation-based node algorithm, proposed further analyzes topological changes caused by removal associated edges failed reconstruction new between neighboring nodes, so that results closer actual dynamics