物联网学报 ›› 2018, Vol. 2 ›› Issue (4): 40-48.doi: 10.11959/j.issn.2096-3750.2018.00080

• 理论与技术 • 上一篇    下一篇

边缘智能驱动的车联网

张彦1,张科2,曹佳钰2   

  1. 1 挪威奥斯陆大学,挪威 奥斯陆 0316
    2 电子科技大学信息与通信工程学院,四川 成都 611731
  • 修回日期:2018-10-29 出版日期:2018-12-01 发布日期:2019-01-03
  • 作者简介:张彦,男,博士,挪威奥斯陆大学教授、博士生导师,全球“高被引科学家”,主要研究方向为物联网和边缘智能网络。|张科,男,博士,电子科技大学讲师,主要研究方向为物联网、车联边缘计算与存储。|曹佳钰,女,电子科技大学硕士生,主要研究方向为车联网和移动边缘计算。

Internet of vehicles empowered by edge intelligence

Yan ZHANG1,Ke ZHANG2,Jiayu CAO2   

  1. 1 University of Oslo,Oslo 0316,Norway
    2 School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
  • Revised:2018-10-29 Online:2018-12-01 Published:2019-01-03

摘要:

边缘智能技术通过将计算、存储等资源向用户端推进的方式,赋予了网络边缘实体更强大的信息处理与内容投递能力,也为移动业务的开发与实现提供了高效、低时延的服务支撑平台,深刻地改变着移动应用的功能与网络资源的利用模式。首先对网络边缘智能技术在车联网中的应用进行研究,提出了设计高效车联边缘系统所需要解决的核心科学问题。然后,深入分析了以上问题解决过程中所面临的技术挑战,并给出了应对策略。

关键词: 边缘智能, 车联网, 资源协同, 区块链

Abstract:

By pushing computing,storage and other resources to the proximity of end devices,edge intelligence empowers network edge entities powerful information processing and content delivery capabilities,while providing efficient and low-latency service support for the development and implementation of novel mobile services.Thus,edge intelligence is profoundly changing the functions of mobile applications and the utilization patterns of network resources.The application of edge intelligence technology in vehicular networks was studied firstly,and the core scientific problems that need to be solved in designing an efficient vehicular edge system was presented.Then,the technical challenges faced in solving these problems were analyzed and the corresponding solution strategies were given.

Key words: edge intelligence, vehicular network, resource synergy, block chain

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