Computer Science ›› 2020, Vol. 47 ›› Issue (1): 237-244.doi: 10.11896/jsjkx.190100178

Special Issue: Network and communication

• Computer Network • Previous Articles     Next Articles

Survey of SDN Applications in Vehicular Networks

GU Xiao-hui,ZHANG Guo-an   

  1. (School of Information Science and Technology,Nantong University,Nantong,Jiangsu 226019,China)
  • Received:2019-01-22 Published:2020-01-19
  • About author:GU Xiao-hui,born in 1995,postgradua-te.Her main research interests include vehicular network,mobile edge computing and cloud computing;ZHANG Guo-an,born in 1965,Ph.D,professor,Ph.D supervisor.His main research interests include vehicular network,and wireless communication network theory and technology.
  • Supported by:
    This work was supported by the Young Scientists Fund of National Natural Science Foundation of China (61801249).

Abstract: 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.

Key words: Cloud computing, Intelligent transport system, Mobile edge computing, Software defined network, Software defined vehicular networks, Vehicular networks

CLC Number: 

  • TN92
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