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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 6
1817-1824

Efficient task offloading scheme of Internet of Vehicles based on software defined network and mobile edge computing

Wei Ruia,b
Zhu Changhonga,b
Wang Yia,b
Huang Yehenga,b
Tang Yuxinga,b
Xiong Zekaia,b
Qin Tuanfaa,b
a. School of Computer & Electronics Information, b. Guangxi Key Laboratory of Multimedia Communications & Network Technology, Guangxi University, Nanning 530004, China
DOI: 10.19734/j.issn.1001-3695.2022.10.0630

Abstract

With the increase in the number of vehicles and intelligent applications in the IoV, computing intensive tasks have proliferated, and the traditional architecture is difficult to meet user needs. To solve the problems of insufficient and uneven allocation of computing resources in the IoV, insatiable application delay requirements, and high task energy consumption costs, this paper combined MEC and SDN to design an efficient task offloading scheme in the network of vehicles architecture from macro station to MEC server to vehicle, and proposed an improved low-complexity non-dominated sorting genetic algorithm to optimize the task offloading cost and the load balancing rate of MEC server. The experimental simulation results show that the proposed scheme compared with random offloading, NO-MEC offloading, NO-I offloading, traditional NSGA, NSGA-Ⅱ offloading, GA offloading, Q-learning offloading, DQN offloading, has lower offloading cost, better load balancing rate, and approximately the highest system utility, which brings better network services to vehicle users in the IoV.

Foundation Support

广西科技创新驱动发展专项项目(桂科AA20302002-3)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.10.0630
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Technology of Network & Communication
Pages: 1817-1824
Serial Number: 1001-3695(2023)06-035-1817-08

Publish History

[2023-01-31] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

韦睿, 祝长鸿, 王怡, 等. 基于软件定义网络和移动边缘计算的车联网高效任务卸载方案 [J]. 计算机应用研究, 2023, 40 (6): 1817-1824. (Wei Rui, Zhu Changhong, Wang Yi, et al. Efficient task offloading scheme of Internet of Vehicles based on software defined network and mobile edge computing [J]. Application Research of Computers, 2023, 40 (6): 1817-1824. )

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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