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Could-based vehicular networks: a taxonomy, survey, and conceptual hybrid architecture

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An Author Correction to this article was published on 29 November 2017

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Abstract

In recent times, vehicular network research has attracted the attention of both researchers and the industry partly due to its potential applications in efficient traffic management, road safety, entertainment, etc. Resources such as communication, on-board unit, storage and computing units, and battery are generally installed in the vehicles participating in intelligent transportation systems. The need to maximize the utilization of these resources has also resulted in interest in cloud based vehicular networks (CVNs), an area of active research. This paper survey the CVNs literature published between 2010 and 2016. In addition, a taxonomy based on three main CVN categories, namely vehicular cloud computing (VCC), vehicle using cloud (VuC) and hybrid cloud (HC), is presented. In the taxonomy, we focus on related systems, architectures, applications and services. Although VCC has been extensively discussed in the literature, a comprehensive survey on the two other categories is lacking. Hence, this motivates our research. Through an extensive comparison of common characteristics among cloud computing, mobile cloud computing, VCC, VuC and HC and overview of the existing architectures, we present a conceptual HC architecture. Finally, we conclude the paper with open issues and challenges.

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  • 29 November 2017

    The original version of this article unfortunately contained a mistake in the title. The correct title has been published with this erratum.

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Authors and Affiliations

  1. Department of Computer Engineering, Islamic Azad University North Tehran Branch, Tehran, Iran

    Mohammad Reza Jabbarpour

  2. Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Alireza Marefat

  3. Department of Computer Science, Michigan Technological University, Houghton, MI, 49931, USA

    Ali Jalooli

  4. Iran Telecommunication Research Center (ITRC), Tehran, 14155-3961, Iran

    Houman Zarrabi

Authors
  1. Mohammad Reza Jabbarpour
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  2. Alireza Marefat
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  3. Ali Jalooli
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  4. Houman Zarrabi
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Correspondence to Mohammad Reza Jabbarpour.

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Jabbarpour, M.R., Marefat, A., Jalooli, A. et al. Could-based vehicular networks: a taxonomy, survey, and conceptual hybrid architecture. Wireless Netw 25, 335–354 (2019). https://doi.org/10.1007/s11276-017-1563-5

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