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Vehicular Fog Computing: Challenges Applications and Future Directions

Vehicular Fog Computing: Challenges Applications and Future Directions

Varun G. Menon, Joe Prathap
Copyright: © 2018 |Pages: 10
ISBN13: 9781522556497|ISBN10: 1522556494|EISBN13: 9781522556503
DOI: 10.4018/978-1-5225-5649-7.ch011
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MLA

Menon, Varun G., and Joe Prathap. "Vehicular Fog Computing: Challenges Applications and Future Directions." Fog Computing: Breakthroughs in Research and Practice, edited by Information Resources Management Association, IGI Global, 2018, pp. 220-229. https://doi.org/10.4018/978-1-5225-5649-7.ch011

APA

Menon, V. G. & Prathap, J. (2018). Vehicular Fog Computing: Challenges Applications and Future Directions. In I. Management Association (Ed.), Fog Computing: Breakthroughs in Research and Practice (pp. 220-229). IGI Global. https://doi.org/10.4018/978-1-5225-5649-7.ch011

Chicago

Menon, Varun G., and Joe Prathap. "Vehicular Fog Computing: Challenges Applications and Future Directions." In Fog Computing: Breakthroughs in Research and Practice, edited by Information Resources Management Association, 220-229. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5649-7.ch011

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Abstract

In recent years Vehicular Ad Hoc Networks (VANETs) have received increased attention due to its numerous applications in cooperative collision warning and traffic alert broadcasting. VANETs have been depending on cloud computing for networking, computing and data storage services. Emergence of advanced vehicular applications has led to the increased demand for powerful communication and computation facilities with low latency. With cloud computing unable to satisfy these demands, the focus has shifted to bring computation and communication facilities nearer to the vehicles, leading to the emergence of Vehicular Fog Computing (VFC). VFC installs highly virtualized computing and storage facilities at the proximity of these vehicles. The integration of fog computing into VANETs comes with a number of challenges that range from improved quality of service, security and privacy of data to efficient resource management. This paper presents an overview of this promising technology and discusses the issues and challenges in its implementation with future research directions.

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