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无人机能耗与数据传输速率部署优化

高睿 王霄 徐凌桦

现代电子技术2024,Vol.47Issue(11):6-12,7.
现代电子技术2024,Vol.47Issue(11):6-12,7.DOI:10.16652/j.issn.1004-373x.2024.11.002

无人机能耗与数据传输速率部署优化

Optimization of UAVs deployment based on energy consumption and data transmission rate

高睿 1王霄 1徐凌桦1

作者信息

  • 1. 贵州大学 电气工程学院,贵州 贵阳 550025
  • 折叠

摘要

Abstract

To cope with the cooperative deployment of multiple UAVs(unmanned aerial vehicles)in disaster scenarios,a genetic-quasi-Newton algorithm is proposed to optimize the energy-saving deployment and data transmission of UAVs.The characteristics of UAV channel,path loss,connectivity rate and coverage rate are extracted,and the multi-UAV cooperative deployment is abstracted as connectivity rate and coverage rate.The genetic algorithm(GA)is improved by the sorting group selection operation,the random weight crossover operation and the inconsistent mutation operator.In combination with the BFGS(Broyden-Fletcher-Goldfarb-Shanno)algorithm which improves the search direction and the iteration step length,the IGA-BFGS algorithm is proposed.This algorithm can get better optimization effect both globally and locally,and also can improve the efficiency and precision of the solution.The transmitting power and height of UAV base station are dynamically adjusted according to the channel characteristics and discrete coefficients of ground users needing rescue in different environments,which improves the power consumption efficiency of UAV base station,increases the working time of UAV base station,and realizes the energy-saving deployment of UAV base station.The simulation results show that the designed method can effectively realize the energy-saving deployment and data transmission optimization of UAV.

关键词

节能部署/异构无人机/应急通信/遗传算法/多无人机/任务分配/数据传输/拟牛顿法

Key words

energy efficient deployment/heterogeneous UAV/emergency communication/GA/multiple drone/task assignment/data transmission/quasi-Newton method

分类

电子信息工程

引用本文复制引用

高睿,王霄,徐凌桦..无人机能耗与数据传输速率部署优化[J].现代电子技术,2024,47(11):6-12,7.

基金项目

国家自然科学基金项目(61861007) (61861007)

国家自然科学基金项目(61640014) (61640014)

贵州省科技计划项目(黔科合基础-ZK[2021]一般303) (黔科合基础-ZK[2021]一般303)

贵州省科技支撑计划(黔科合支撑[2022]一般017,黔科合支撑[2023]一般096,黔科合支撑[2022]一般264) (黔科合支撑[2022]一般017,黔科合支撑[2023]一般096,黔科合支撑[2022]一般264)

贵州省教育厅创新群体项目(黔教合KY字[2021]012) (黔教合KY字[2021]012)

贵大人基合字(2014)08号 (2014)

现代电子技术

OA北大核心CSTPCD

1004-373X

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