摘要
随着车载应用、移动设备和物联网的快速发展,开发处理车载网大数据的高效架构已成为未来智慧城市关注的重要问题。然而,车载网复杂且不灵活的架构面临一系列挑战,如高移动性、间歇性连接、应用程序的异构性。在这种背景下,软件定义网络(Software Defined Network,SDN)可编程和灵活的网络架构,在有线网络管理和异构无线通信中受到学术界和工业界的广泛关注。在车载网中应用SDN可以提高灵活性、可靠性、可编程性和可扩展性,增强车载网提供应用和服务的能力,提高用户服务质量。文中首先描述了SDN的体系结构,然后从架构和数据传播角度出发概括了软件定义车载网络(Software Defined Vehicular Networks,SDVN)的研究进展,随后概述了结合移动边缘计算(Mobile Edge Computing,MEC)的SDVN研究现状,接着讨论了SDVN存在的问题和挑战,最后介绍了SDVN的应用前景。
As vehicle applications,mobile devices and the Internet of Things(IoT)have been developing rapidly,building an efficient architecture to deal with big data in vehicular networks has become an important concern for the future smart city.Howe-ver,the complex and inflexible architecture of vehicular networks faces a set of challenges such as high mobility,intermittent connectivity,heterogeneity of applications.In this context,software defined network(SDN),with the programmable and flexible network architecture,has recently been gaining great attentions from research communities,businesses,and industries in wired network managements and heterogeneous wireless communications.Applying SDN to Vehicular Networks can significantly improve its flexibility,reliability,programmability and scalability,enhance the capacity of vehicular Networks in providing applications and services,and further improve the quality of experience of users.Firstly,the SDN framework was described.Secondly,the research progress of the software defined vehicular network(SDVN)was summarized from two perspectives:architectures and data dissemination.Then the current research state of SDVN combined with mobile edge computing(MEC)was surveyed.After that,exi-sting problems and challenges faced by SDVN were discussed.Finally,several SDVN application prospects were introduced.
作者
谷晓会
章国安
GU Xiao-hui;ZHANG Guo-an(School of Information Science and Technology,Nantong University,Nantong,Jiangsu 226019,China)
出处
《计算机科学》
CSCD
北大核心
2020年第1期237-244,共8页
Computer Science
基金
国家自然科学基金青年科学基金(61801249)~~
关键词
车载网
软件定义网络
软件定义车载网
智能交通系统
移动边缘计算
云计算
Vehicular networks
Software defined network
Software defined vehicular networks
Intelligent transport system
Mobile edge computing
Cloud computing