System Development & Application
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 7
2111-2116

Power inspection and unloading strategy of UAV based on improved hybrid particle swarm algorithm and matching theory

Huang Dongmeia
Xu Qib
Sun Jinzhonga
Hu Anduoa
a. College of Electronic & Information Engineering, b. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0791

Abstract

When UAVs are equipped with a deep neural network for power inspection, because the device computing power and battery capacity as well as the deep neural network computation load limit, it cannot independently process the massive amount of image data generated in the inspection task. To address this problem, this paper proposed an unloading strategy for UAV power inspection based on improved hybrid particle swarm algorithm and matching theory, which decomposed the system cost minimization problem into two sub-problems, such as cooperative partitioning of deep neural network computing tasks and edge server selection. For the collaborative partition problem, it proposed a staggered transmission method based on the execution process of deep neural network computational tasks, and an improved hybrid particle swarm algorithm solved the multi-UAV task collaborative partition layer. For the server selection problem, it defined the respective preference functions of the UAV and the server, and established a stable match between them through matching theory according to the preference functions to obtain the server selection policy. Simulation results show that the proposed strategy can effectively reduce the energy consumption and computational task processing delay of UAVs and promote the load balancing of edge servers compared with other offloading strategies.

Foundation Support

上海市科委地方院校能力建设项目(20020500700)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0791
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 7
Section: System Development & Application
Pages: 2111-2116
Serial Number: 1001-3695(2023)07-029-2111-06

Publish History

[2023-03-06] Accepted Paper
[2023-07-05] Printed Article

Cite This Article

黄冬梅, 徐琦, 孙锦中, 等. 基于改进混合粒子群算法和匹配理论的无人机电力巡检卸载策略 [J]. 计算机应用研究, 2023, 40 (7): 2111-2116. (Huang Dongmei, Xu Qi, Sun Jinzhong, et al. Power inspection and unloading strategy of UAV based on improved hybrid particle swarm algorithm and matching theory [J]. Application Research of Computers, 2023, 40 (7): 2111-2116. )

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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