基于粒子群算法的临地空间通信飞艇优化部署

Optimal Deployment of Space Communication Airship Based on Particle Swarm Optimization

传统海域通信网效率低、成本高,采用通信飞艇为海洋渔船提供通信服务已成为研究热点。分析了通信飞艇在海域通信中的实施原理,对渔船用户的信息熵模型进行了建模。提出通信飞艇基于粒子群算法实时追踪信息熵模型的最大点,即能实现其自适应优化部署,并调整粒子群算法的惯性权重进行仿真对比实验。结果表明,基于粒子群算法的通信飞艇能有效地追踪到信息熵最大值,调整惯性权重能快速实现通信飞艇的最优化部署。

The traditional maritime communication network has low efficiency and high cost.It has become a research hotspot to use communication airships to provide communication services for marine fishing vessels.The implementation principle of communication airship in sea communication is analyzed,and the information entropy model of fishing boat users is modeled.A communication airship based on particle swarm optimization algorithm is proposed to track the maximum point of the information entropy model in real time to realize its adaptive optimal deployment.Adjust the inertia weight of particle swarm optimization algorithm for simulation and comparison.The results show that the communication airship based on particle swarm optimization can effectively track the maximum value of the information entropy point,and the optimal deployment of the communication airship can be quickly realized by adjusting the inertia weight.