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Toward Edge-based Caching in Software-defined Heterogeneous Vehicular Networks

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Fog Computing

Abstract

Considerable technological advancements and pervasive use of smart connected vehicles have highlighted the true potential of vehicular networks, which, in the realm of smart cities, assists in improvement of road safety and traffic management and efficiency. Coupled with this is the massive innovation realized in wireless networking technologies, and today, heterogeneous networks encompassing 4G LTE , Wi-Fi, WiMAX , DSRC, and Terahertz communication are taking shape, synergy of which not only promises higher bandwidth but also ensures low latent infrastructure critical for supporting diverse range of safety applications. Heterogeneity, on the other hand, has introduced new challenges too, e.g., in terms of network fragmentation, an unbalanced traffic flow in a multi-path topology, and inefficient utilization of network resources. Accordingly, the emerging yet promising paradigm of software-defined networking (SDN ) has, of lately, been introduced to vehicular networks for addressing such bottlenecks, which through its logically centralized control ensures programmability, scalability, elasticity, and agility. Nevertheless, a centralized control in a distributed environment like vehicular networks could become a single point of network failure and may also result in significant network management overhead in case of extremely dense traffic scenarios. Therefore, leveraging edge-based caching in heterogeneous vehicular networks is indispensable. This chapter brings forward the notion of SDN-based heterogeneous vehicular networking and argues that edge-based caching can help overcome the bottlenecks posed by traditional networking architectures especially in terms of ensuring low latency for safety-critical applications. Finally, open challenges and probable solutions are discussed.

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Notes

  1. 1.

    Other passive safety measures include provision of airbags and enhancements in physical structure of cars.

  2. 2.

    VSC-A consortium member includes Ford Motors, General Motors Corporation, Mercedes-Benz Research & Development North America, Inc., Honda R&D Americas, Inc., and Toyota Motor Engineering & Manufacturing North America, Inc.

  3. 3.

    Vehicle platooning aims to significantly minimize the inter-vehicular distances in contrast to inter-vehicular distances recommended for manual driving, by partially or fully automating the driving tasks, and with the main intent of effectively utilizing the road infrastructure by facilitating more number of vehicles for utilizing any stretch of the road. Hence, the smaller the inter-vehicular distance is, the more the number of vehicles could be packed, which subsequently leads to reduction in the aerodynamic drag thereby enhancing energy efficiency.

  4. 4.

    The notion of vehicular clouds is similar to that of vehicular platoons as vehicles with similar objectives (or interests) form a collaborative group and communication is being done via the cloud head, schemes for whose selection is similar to that of cluster head selection in wireless sensor networks.

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Acknowledgements

The corresponding author would like to acknowledge the generous support of Ministry of Higher Education, Government of Malaysia, for partly supporting the said research work via its prestigious Malaysian International Scholarship Grant, KPT. 600-4/1/12JLID 2(8).

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Authors and Affiliations

  1. Communications Research Group, Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan, 94300, Sarawak, Malaysia

    Adnan Mahmood & Hushairi Zen

  2. Emerging Networks Laboratory, Telecom. Software and Systems Group, Waterford Institute of Technology, Waterford, Ireland

    Adnan Mahmood

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  1. Adnan Mahmood
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Correspondence to Adnan Mahmood .

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  1. Debesis Education, Derby, United Kingdom

    Zaigham Mahmood

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Mahmood, A., Zen, H. (2018). Toward Edge-based Caching in Software-defined Heterogeneous Vehicular Networks. In: Mahmood, Z. (eds) Fog Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-94890-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-94890-4_13

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