Artigo Revisado por pares

Enabling Collaborative Edge Computing for Software Defined Vehicular Networks

2018; Institute of Electrical and Electronics Engineers; Volume: 32; Issue: 5 Linguagem: Inglês

10.1109/mnet.2018.1700364

ISSN

1558-156X

Autores

Kai Wang, Hao Yin, Wei Quan, Geyong Min,

Tópico(s)

Vehicular Ad Hoc Networks (VANETs)

Resumo

Edge computing has great potential to address the challenges in mobile vehicular networks by transferring partial storage and computing functions to network edges. However, it is still a challenge to efficiently utilize heterogeneous edge computing architectures and deploy large-scale IoV systems. In this article, we focus on the collaborations among different edge computing anchors and propose a novel collaborative vehicular edge computing framework, called CVEC. Specifically, CVEC can support more scalable vehicular services and applications by both horizontal and vertical collaborations. Furthermore, we discuss the architecture, principle, mechanisms, special cases, and potential technical enablers to support the CVEC. Finally, we present some research challenges as well as future research directions.

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