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System Development & Application
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2118-2125

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

Li Mengli1
Wang Xiao1
Mi Dechang1
Meng Lei2
1. School of Electrical Engineering, Guizhou University, Guiyang 550025, China
2. School of Computer Science(National Pilot Software Engineering School), Beijing University of Posts & Telecommunications, Beijing 100876, China

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 optimization 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 results show that the energy efficiency of the nodes under the proposed algorithm is 21% higher than that of the DDQN benchmark algorithm, and the training speed is 42% and 34% higher than that of the DDPG and A3C algorithms respectively.

Foundation Support

国家自然科学基金资助项目(61861007,61640014)
贵州省科技计划资助项目(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)
贵州省教育厅创新群体项目(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)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0537
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 7
Section: System Development & Application
Pages: 2118-2125
Serial Number: 1001-3695(2024)07-027-2118-08

Publish History

[2024-01-22] Accepted Paper
[2024-07-05] Printed Article

Cite This Article

李梦丽, 王霄, 米德昌, 等. 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. (Li Mengli, Wang Xiao, Mi Dechang, et al. MADRL-based UAV deployment and node efficiency optimization for information collection in disaster scenarios [J]. Application Research of Computers, 2024, 41 (7): 2118-2125. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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