Multi-Sensor Cross-Prompting Algorithm Based on Lightning Search

First, we introduce the basic theory of multi-sensor cross-fidelity technology, establish a distributed sensor management structure based on a community sensor network model and multi-agent technology, and analyze the conditions and types of sensor cross-fidelity. Second, we proposed a function for evaluating sensor networks. Finally, we designed multiple sensor cross-proms algorithms based on Lightning Search. The simulation results show that multiple proposed Cross-ProMPT models match the actual combat scenario, and that a combined sensor system can be generated to detect and track the target, and to hand over the target. In the future. The lightning search algorithm has a higher melting quality and a higher convergence speed compared to game theory and artificial bee community algorithm, making it more suitable for emergencies.