Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 5
1515-1520

Research on edge to end collaborative computing offloading technology in unmanned aircraft cluster scenarios

Huang Zixiang1
Zhang Xinyou2
Xing Huanlai2
Feng Li2
1. Tangshan Research Institute, Southwest Jiaotong University, Tangshan Hebei 063000, China
2. School of Computer & Artificial Intelligence, Southwest Jiaotong University, Chengdu 610000, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0418

Abstract

This paper proposed a coordinated edge-to-edge architecture for an emergency response scenario assisted by unmanned aerial vehicles(UAVs), taking into consideration the frequent occurrence of natural disasters globally. The architecture incorporated a coordinator and aimed to minimize the overall system cost by considering factors such as latency, energy consumption, and loaded balancing among UAVs. And it utilized an improved deep reinforcement learning algorithm called advanced proximal policy optimization(APPO) to optimize the offloading process. Compared to binary offloading, partial offloading of tasks could effectively reduce the overall system cost. The APPO algorithm enabled users to determine suitable offloading ratios and allocate tasks to UAVs based on different task scenarios. Simulation and experimental results demonstrate a reduction of approximately 50% in the overall system cost compared to full local processing, and about 14% compared to the advanced A2C algorithm, showing the superiority of the proposed strategy in this specific scenario.

Foundation Support

国家自然科学基金资助项目(62172342)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0418
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 5
Section: Technology of Network & Communication
Pages: 1515-1520
Serial Number: 1001-3695(2024)05-033-1515-06

Publish History

[2023-11-30] Accepted Paper
[2024-05-05] Printed Article

Cite This Article

黄子祥, 张新有, 邢焕来, 等. 无人机群场景下边端协同计算卸载技术 [J]. 计算机应用研究, 2024, 41 (5): 1515-1520. (Huang Zixiang, Zhang Xinyou, Xing Huanlai, et al. Research on edge to end collaborative computing offloading technology in unmanned aircraft cluster scenarios [J]. Application Research of Computers, 2024, 41 (5): 1515-1520. )

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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