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A Survey on Vehicular Fog Computing: Motivation, Architectures, Taxonomy, and Issues

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Web, Artificial Intelligence and Network Applications (WAINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1150))

Abstract

Fog computing is a promising solution that was conceived to overcome the delay constraints and excessive use of radio resources required to access the cloud. It consists in bringing the cloud to the network edge to reduce latency and optimize the bandwidth usage. Recently, this concept has been extended to vehicular networks, named vehicular fog computing. A set of architectures were proposed to investigate the fog paradigm in the vehicular context. In this paper, we overview the different vehicular fog architectures. Then, we suggest a taxonomy of vehicular fog computing based on a set of parameters. Finally, we discuss challenges that affect its deployment.

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Author information

Authors and Affiliations

  1. REDCAD Laboratory, National School of Engineers of Sfax, Sfax, Tunisia

    Tesnim Mekki

  2. College of Engineering and Architecture, Al Yamamah University, Riyadh, Kingdom of Saudi Arabia

    Issam Jabri

  3. Laboratory of Technology of Smart Systems (LT2S), Digital Research Center of Sfax (CNRS), University of Sfax, Sfax, Tunisia

    Lamia Chaari

  4. Université Paris-Est Marne-la-Vallée, LIGM (UMR8049), CNRS, ENPC, UPEM, 77454, Champs-sur-Marne, France

    Abderrezak Rachedi

Authors
  1. Tesnim Mekki
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  2. Issam Jabri
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  3. Lamia Chaari
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  4. Abderrezak Rachedi
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Corresponding author

Correspondence to Tesnim Mekki .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania Luigi Vanvitelli, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Mekki, T., Jabri, I., Chaari, L., Rachedi, A. (2020). A Survey on Vehicular Fog Computing: Motivation, Architectures, Taxonomy, and Issues. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_15

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