中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2024, Vol. 43 ›› Issue (12): 98-110.DOI: 10.3969/j.issn.1674-0696.2024.12.13

• 交通+大数据人工智能 • 上一篇    

智能网联汽车边缘计算任务卸载研究综述

杨智勇1,2,胡耀文1,许沁欣2   

  1. (1. 重庆师范大学 计算机与信息科学学院,重庆 401331; 2. 重庆工程职业技术学院 大数据与物联网学院,重庆 402260)
  • 收稿日期:2024-04-15 修回日期:2024-08-20 发布日期:2024-12-24
  • 作者简介:杨智勇(1979—),男,重庆人,教授,主要从事智能控制、图像识别方面的研究。E-mail:zyy@cqvie.edu.cn
  • 基金资助:
    重庆市自然科学基金项目(cstc2021ycjh-bgzxm0088); 重庆市高校创新研究群体项目(CXQT21032);重庆市教育委员会科学技术研究计划项目(KJZD-M202303401)

Research Review on Task Offloading of Edge Computing for Intelligent Connected Vehicles

YANG Zhiyong1,2, HU Yaowen1, XU Qinxin2   

  1. (1. School of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China; 2. College of Big Data and Internet of Things, Chongqing Engineering Vocational and Technical College, Chongqing 402260, China)
  • Received:2024-04-15 Revised:2024-08-20 Published:2024-12-24

摘要: 移动边缘计算作为一种新兴计算模式,已在车联网场景中展现出巨大的潜力。任务卸载是移动边缘计算中的关键问题,对于提高系统性能和用户体验至关重要,对此,针对移动边缘计算下车辆任务卸载研究展开综述。首先介绍移动边缘计算的基本概念,然后总结了评价指标与任务卸载问题公式和卸载决策等方面的研究,并对任务卸载方法和一些算法进行归纳,最后探讨了移动边缘计算任务卸载在未来的研究方向与挑战。通过对的研究现状概述和未来挑战的讨论,可更好地了解移动边缘计算任务卸载的前沿动态,为相关研究和应用提供指导和启示。

关键词: 交通运输工程;任务卸载;移动边缘计算;评价指标;任务卸载算法

Abstract: As a new computing model, mobile edge computing has shown great potential in the internet of vehicles scenario. Task offloading is a key problem in mobile edge computing, which is crucial to improve system performance and user experience. In this regard, the research on vehicle task offloading under mobile edge computing was reviewed. Firstly, the basic concept of mobile edge computing was introduced, and then the research on the aspects such as evaluation index, task offloading problem formula and offloading decision was summarized, and the task offloading methods and some algorithms were also summarized. Finally, the future research direction and challenges of mobile edge computing task offloading were discussed. Through the overview of the current research status and the discussion of future challenges, it is helpful to better understand the frontier dynamics of mobile edge computing task offloading, which provides guidance and inspiration for the related research and applications.

Key words: traffic and transportation engineering; task offloading; mobile edge computing; evaluation index; task offloading algorithms

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