The invention discloses an unmanned aerial vehicle body sensing
network deployment method based on entropy
feedback control, and the method comprises the steps: introducing a real-time feedback mechanism of local entropy, speed entropy and topological connection entropy based on an Olfati-Saber model, and dynamically adjusting the interaction force and
obstacle avoidance strategy of each unmanned aerial vehicle through controlling the entropy reduction process of a cluster
system, thereby achieving the real-time deployment of the unmanned aerial vehicle body sensing network. The robustness and the adaptive capability of the sensor network in a complex environment are improved, and the
connectivity and the collaborative operation efficiency of the network are effectively ensured. The
communication complexity is controlled through entropy feedback, unnecessary communication connection in a cluster is effectively reduced, redundancy caused by excessive communication is avoided, the overhead of
information transmission is reduced, the allocation weight of communication resources is dynamically adjusted according to entropy value feedback, connection with important nodes is preferentially established, the utilization efficiency of the communication resources is improved, and the communication efficiency is improved. By monitoring the topology connection entropy in real time, the
network structure is adaptively adjusted, the communication topology is flexibly optimized according to task requirements, and efficient communication and cluster stability in a complex environment are ensured.