Architectural Design Alternatives Based on Cloud/Edge/Fog Computing for Connected Vehicles

Haoxin Wang, Tingting Liu, Baek Gyu Kim, Chung Wei Lin, Shinichi Shiraishi, Jiang Xie, Zhu Han

Research output: Contribution to journalArticlepeer-review

110 Scopus citations

Abstract

As vehicles playing an increasingly important role in people's daily life, requirements on safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can provide enabling technologies to realize these requirements and have attracted widespread attentions from both academia and industry. These requirements ask for a well-designed computing architecture to support the Quality-of-Service (QoS) of CV applications. Computation offloading techniques, such as cloud, edge, and fog computing, can help CVs process computation-intensive and large-scale computing tasks. Additionally, different cloud/edge/fog computing architectures are suitable for supporting different types of CV applications with highly different QoS requirements, which demonstrates the importance of the computing architecture design. However, most of the existing surveys on cloud/edge/fog computing for CVs overlook the computing architecture design, where they (i) only focus on one specific computing architecture and (ii) lack discussions on benefits, research challenges, and system requirements of different architectural alternatives. In this article, we provide a comprehensive survey on different architectural design alternatives based on cloud/edge/fog computing for CVs. The contributions of this article are: (i) providing a comprehensive literature survey on existing proposed architectural design alternatives based on cloud/edge/fog computing for CVs, (ii) proposing a new classification of computing architectures based on cloud/edge/fog computing for CVs: computation-aided and computation-enabled architectures, (iii) presenting a holistic comparison among different cloud/edge/fog computing architectures for CVs based on functional requirements of CV systems, including advantages, disadvantages, and research challenges, (iv) presenting a holistic overview on the design of CV systems from both academia and industry perspectives, including activities in industry, functional requirements, service requirements, and design considerations, and (v) proposing several open research issues of designing cloud/edge/fog computing architectures for CVs.

Original languageEnglish
Article number9184917
Pages (from-to)2349-2377
Number of pages29
JournalIEEE Communications Surveys and Tutorials
Volume22
Issue number4
DOIs
StatePublished - 1 Oct 2020

Bibliographical note

Publisher Copyright:
© 1998-2012 IEEE.

Keywords

  • Mobile edge computing
  • V2X communication
  • architectural design
  • connected vehicles
  • fog computing
  • mobile cloud computing

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