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Technology of Network & Communication
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3441-3446

Computing offloading strategy for multi-type tasks in satellite Internet of Things

Yang Guisonga
Li Xiangfeia
He Xingyua,b
a. School of Optical-Electrical & Computer Engineering, b. College of Communication & Art Design, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

Integrating edge computing with satellite Internet of Things(SIoT) allows tasks generated by local IoT devices to be processed closer to the edge, significantly relieving the computational burden on local IoT devices. However, given the diversity of computational tasks in satellite IoT, deploying a specific computing offloading strategy for each type of task leads to wastage of computational resources due to varying requirements based on task characteristics. Moreover, the randomness in the generation of computational tasks in satellite IoT requires a long-term optimization approach; otherwise, it may result in underutilization of computational resources of the devices, further increasing the task processing delay. To address these issues, this paper proposed a multi-type task computing offloading strategy based on DQN, incorporating queue theory to minimize the long-term average delay in system task processing. Additionally, to enhance the training outcomes, it redesigned the exploration method during the training phase. Finally, extensive simulation results indicate that the proposed strategy effectively reduces the average task processing delay in the system compared with other offloading strategies.

Foundation Support

国家自然科学基金资助项目(61602305,61802257)
上海市自然科学基金资助项目(18ZR1426000,19ZR1477600)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0087
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 11
Section: Technology of Network & Communication
Pages: 3441-3446
Serial Number: 1001-3695(2024)11-035-3441-06

Publish History

[2024-07-23] Accepted Paper
[2024-11-05] Printed Article

Cite This Article

杨桂松, 李相霏, 何杏宇. 卫星物联网中面向多类型任务的计算卸载策略 [J]. 计算机应用研究, 2024, 41 (11): 3441-3446. (Yang Guisong, Li Xiangfei, He Xingyu. Computing offloading strategy for multi-type tasks in satellite Internet of Things [J]. Application Research of Computers, 2024, 41 (11): 3441-3446. )

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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