Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2322-2328

UAV dynamic collaborative optimization coverage algorithm based on trajectory prediction in Internet of Vehicles

Wu Zhuanga,b
Tang Luna,b
Pu Haoa,b
Wang Zhipinga,b
Chen Qianbina,b
a. School of Communication & Information Engineering, b. Key Laboratory of Mobile Communication Technology, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2022.01.0022

Abstract

Aiming at the problems of coverage voids of base stations and local traffic overload in urban vehicle networking, this paper proposed a dynamic pre-deployment scheme based on vehicle trajectory prediction information. Firstly, multiple UAVs equipped with edge computing servers removed the central aggregation node under the architecture of distributed federated learning and blockchain, and adopted an improved Raft algorithm to train a unified seq2seq-GRU trajectory prediction model. In the round of training, according to the amount of contributed data, the scheme elected the nodes to complete the parameter aggregation and model updating tasks. Secondly, based on the prediction results of the model, this paper proposed an improved virtual force guide deployment algorithm, which guided the UAV to dynamically deploy through each virtual force to improve the access rate and communication quality of the vehicle. The simulation results show that the proposed training architecture can accelerate the training of the model, and the deployment algorithm improves the access rate of the vehicle while improving the communication quality between the vehicle and the UAV.

Foundation Support

国家自然科学基金资助项目(62071078)
川渝联合实施重点研发项目(2021YFQ0053)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0022
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Algorithm Research & Explore
Pages: 2322-2328
Serial Number: 1001-3695(2022)08-014-2322-07

Publish History

[2022-03-22] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

吴壮, 唐伦, 蒲昊, 等. 车联网中基于轨迹预测的无人机动态协同优化覆盖算法 [J]. 计算机应用研究, 2022, 39 (8): 2322-2328. (Wu Zhuang, Tang Lun, Pu Hao, et al. UAV dynamic collaborative optimization coverage algorithm based on trajectory prediction in Internet of Vehicles [J]. Application Research of Computers, 2022, 39 (8): 2322-2328. )

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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