Survey
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 7
1937-1946

Review of research on flying Ad hoc network routing based on reinforcement learning

Sun Chen
Mo Guomei
Shu Jian
School of Software, Nanchang Hangkong University, Nanchang 330063, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0566

Abstract

Flying Ad hoc network(FANET) are widely used for network communication services in situations such as military, emergency disaster relief and environmental monitoring, and good routing protocols can provide reliable transmission in scena-rios with harsh communication conditions. Using reinforcement learning to describe routing as a Markov decision process for routing decisions has become a hot research topic. In order to further introduce and dig into the current state of research on FANET routing protocols based on reinforcement learning, this paper firstly introduced some improvements on FANET traditional routing protocols in recent years. Secondly, it provided a detailed introduction on the latest research results on the research of FANET routing protocols based on reinforcement learning. At the same time, this paper deeply explored the modeling laws of state, action and reward in reinforcement learning-based routing research algorithms, and compared them in terms of routing optimization criteria and reinforcement learning optimization process. Finally, it presented a summary and outlook based on the current research status of reinforcement learning based FANET routing protocols.

Foundation Support

国家自然科学基金资助项目(62062050)
江西省教育厅科技项目(GJJ170615)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0566
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 7
Section: Survey
Pages: 1937-1946
Serial Number: 1001-3695(2023)07-003-1937-10

Publish History

[2023-03-08] Accepted Paper
[2023-07-05] Printed Article

Cite This Article

孙晨, 莫国美, 舒坚. 基于强化学习的无人机自组网路由研究综述 [J]. 计算机应用研究, 2023, 40 (7): 1937-1946. (Sun Chen, Mo Guomei, Shu Jian. Review of research on flying Ad hoc network routing based on reinforcement learning [J]. Application Research of Computers, 2023, 40 (7): 1937-1946. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)