文档介绍：: .
吉林大学学报012)
摘要：针对无人机在无线通信网络场景中的保密通信与飞行过程中保证安全节能问题，提出一种多目标优化设计
方案。基于无人机通信模型、无人机能耗模型和环境限制模型构建无人机调度和航迹规划问题（USPOP）的多目
标优化模型，以无人机无线通信的平均保密率、无人机悬停能耗和无人机飞行能耗三个目标为优化目标进行优化，
并通过改进的第三代非支配排序遗传算法对问题进行求解。仿真结果表明，提出的改进算法能有效解决构建的优
化问题，并且相对于其他对比算法有更好的收敛效果。
关键词：计算机应用；无人机通信网络；航迹规划；通信保密率；能量损耗；多目标优化
中图分类号：TP393 文献标志码：A
DOI：.jdxbgxb20220557
Joint Optimization of Secure Communication and Trajectory Planning in
UAV Air-to-Ground
HE Ying1，FAN Jun-song2，WANG Wei1，SUN Geng2，LIU Yan-heng1,2
(1. College of Information and Engineering，Changchun University of Finance and Economics，Changchun
130122，China；2. College of Software，Jilin University，Changchun 130012，China)
Abstract: Aiming at the problem of UAV secrecy communication and ensuring safety as well energy saving during flight in the
wireless network scenario, a multi-objective optimization scheme is proposed. The scheme mainly includes UAV transmission model,
UAV energy consumption model and environmental constraints model, and further constructs the multi-objective optimization model
of UAV scheduling and path optimization problem (USPOP), which optimizes average communication secrecy rate of UAV wireless
communication, UAV hovering energy consumption and UAV flight energy consumption. Then, a non-dominated sorting genetic
algorithm III (NSGA-III) with discrete normal distribution initialization, differential mechanism, genetic mechanism and avoiding
obstacles operator (NDGA-NSGA-III) is proposed