Battlefield situation awareness and networking based on agent distributed computing

Abstract The battlefield environment is complex and changeable, and there are complex terrain features and bad electromagnetic communication environment. At the present stage, the battlefield reconnaissance and communication network mainly depends on the cooperation of soldiers. With the development of unmanned aerial vehicle and pilotless technology, in the background of information warfare, the use of mobile agents to complete the formation of battlefield communication networks and the battlefield situation awareness has become a new trend. The Unmanned aerial vehicles (UAVs) technology is becoming more and more mature, and its distribution, synergy, parallelism, robustness and intelligence provide the basic conditions for the construction of a battlefield self organizing network. In this paper, we use UAVs and unmanned combat vehicles to build a mobile ad hoc network that meets the conditions of the battlefield. The network can solve the problem of slow convergence or non convergence of the traditional self-organizing network without relying on the fixed basic network facilities, which has the characteristics of rapid expansion, strong destruction resistance and no centrality. So it can meet the needs of communication in the battlefield. In this process, we combine the A star algorithm with the ant colony algorithm to realize the real-time path planning in combination with the edge computing power of the agent and the battlefield situation collected by the sensor, and the battlefield aggregation and search task can be completed quickly. And according to the planned route, the route forwarding strategy under known path is used to complete the information transmission.