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灾害场景下基于MADRL的信息收集无人机部署与节点能效优化

李梦丽 王霄 米德昌 孟磊

计算机应用研究2024,Vol.41Issue(7):2118-2125,8.
计算机应用研究2024,Vol.41Issue(7):2118-2125,8.DOI:10.19734/j.issn.1001-3695.2023.11.0537

灾害场景下基于MADRL的信息收集无人机部署与节点能效优化

MADRL-based UAV deployment and node efficiency optimization for information collection in disaster scenarios

李梦丽 1王霄 1米德昌 1孟磊2

作者信息

  • 1. 贵州大学电气工程学院,贵阳 550025
  • 2. 北京邮电大学计算机学院(国家示范性软件学院),北京 100876
  • 折叠

摘要

Abstract

In the disaster scene,the timely and reliable collection of first-hand and important information in the disaster area is the key to the early disaster warning research and rescue work.Unmanned aerial vehicle(UAV)is an efficient auxiliary tool for establishing emergency communication network within disaster zones.Through the investigation of the deployment methods of UAV in emergency scenarios in the existing research,this paper reported the problem that node energy efficiency was not considered in UAV deployment.Since the ground sensor nodes were located inside the disaster area in a hostile and extremely passive environment,the combination of disaster scenarios.Taking improving the energy efficiency of ground nodes as the opti-mization goal for the first time,based on the deep reinforcement learning method and on the basis of DDQN network model,the adaptive deployment problem of UAV for information collection in disaster scenarios was solved by defining experience playback priority,reasonably designing reward function and adopting complete decentralized training method.Simulation re-sults show that the energy efficiency of the nodes under the proposed algorithm is 21%higher than that of the DDQN bench-mark algorithm,and the training speed is 42%and 34%higher than that of the DDPG and A3C algorithms respectively.

关键词

应急服务/节点能效优化/深度强化学习/无人机部署

Key words

emergency service/node energy efficiency optimization/deep reinforcement learning/UAV deployment

分类

信息技术与安全科学

引用本文复制引用

李梦丽,王霄,米德昌,孟磊..灾害场景下基于MADRL的信息收集无人机部署与节点能效优化[J].计算机应用研究,2024,41(7):2118-2125,8.

基金项目

国家自然科学基金资助项目(61861007,61640014) (61861007,61640014)

贵州省科技计划资助项目(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资助项目(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) (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)

贵州大学引进人才科研项目(贵大人基合字(2014)08号) (贵大人基合字(2014)

计算机应用研究

OA北大核心CSTPCD

1001-3695

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