Joint optimization of secure communication and trajectory planning in unmanned aerial vehicle air⁃to⁃ground

被引：0

作者：

He Y. ^{[1
]}

Fan J.-S. ^{[2
]}

Wang W. ^{[1
]}

Sun G. ^{[2
]}

Liu Y.-H. ^{[1
,2
]}

机构：

[1] College of Information and Engineering, Changchun University of Finance and Economics, Changchun

[2] College of Software, Jilin University, Changchun

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2023年 / 53卷 / 03期

关键词：

computer application; energy consumption; multi-objective optimization; secrecy rate; trajectory planning; unmanned aerial vehicle（UAV） communication network;

D O I：

10.13229/j.cnki.jdxbgxb20220557

中图分类号：

学科分类号：

摘要：

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 was 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 to solve USPOP. Simulation results show that the proposed algorithm can effectively solve the constructed optimization problem，and the convergence effect is better than other comparison algorithms. © 2023 Editorial Board of Jilin University. All rights reserved.

引用

页码：913 / 922

页数：9

共 15 条

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