Technology of Network & Communication
|
558-562

Task offloading scheme of Internet of Vehicles based on improved immune genetic algorithm

Chen Fatang
Li Lu
Zhang Ruofan
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Abstract

In order to solve the problem of unreasonable offloading decision and resource allocation in the scenario of IoV, this paper proposed an improved heuristic task offloading strategy of IoV. This strategy used the improved dual-population immune genetic algorithm(IDP-IGA), introduced the adaptive immigration operator while retaining the elite population, and optimized the delay-energy consumption overhead of the system under the premise of satisfying the maximum tolerance delay of the vehicle and the maximum allocable resources of the roadside unit. The simulation results show that the proposed algorithm has good convergence, and compared with the traditional algorithm and genetic-particle swarm optimization algorithm, it can significantly reduce the delay-energy consumption overhead of the system, and realize the optimal resource allocation scheme in the process of task offloading.

Foundation Support

重庆市自然科学基金资助项目(cstc2021jcyj-msxmX0454)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0242
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 2
Section: Technology of Network & Communication
Pages: 558-562
Serial Number: 1001-3695(2024)02-036-0558-05

Publish History

[2023-08-03] Accepted Paper
[2024-02-05] Printed Article

Cite This Article

陈发堂, 李璐, 张若凡. 基于改进式免疫遗传算法的车联网任务卸载方案 [J]. 计算机应用研究, 2024, 41 (2): 558-562. (Chen Fatang, Li Lu, Zhang Ruofan. Task offloading scheme of Internet of Vehicles based on improved immune genetic algorithm [J]. Application Research of Computers, 2024, 41 (2): 558-562. )

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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