Vehicular Software-Defined Networking and Fog Computing: Integration and Design Principles

Nobre, Jeferson; Mariano de Souza, Allan; Rosario, Denis; Both, Cristiano; Villas, Leandro A.; Cerqueira, Eduardo; Braun, Torsten; Gerla, Mario (2019). Vehicular Software-Defined Networking and Fog Computing: Integration and Design Principles. Ad hoc Networks, 82, pp. 172-181. Elsevier 10.1016/j.adhoc.2018.07.016

[img]
Preview
Text
Vehicular_Software_Defined_Networking_and_Fog_Computing__Integration_and_Design_Principles-2.pdf - Accepted Version
Available under License Creative Commons: Attribution-Noncommercial-No Derivative Works (CC-BY-NC-ND).

Download (2MB) | Preview

Vehicular Networks (VN) enable the collaboration among vehicles and infrastructure to deliver network services, where usually value-added services are
provided by cloud computing. In this context, fog computing can be deployed
closer to the users to meet their needs with minimum help from the Internet
infrastructure. Software Defined Networking (SDN) might support the use of
large-scale fog-enabled VN services. However, the current management of each
wireless network that composes the VN has restricted the exploration of fog-enabled VN services. Therefore, the design principles for a VN architecture
is still an open issue, mainly because it is necessary to address the diversity
of VN fog applications. In this article, we investigate the design principles
for fog-enabled Vehicular Software Defined Networking (VSDN) focusing on the
perspectives of the systems, networking, and services. We evaluated these design
principles in a use case of a traffic management system for a fast traffic accident
rescue, using real traffic accident data. Finally, potential research challenges
and opportunities for integrated use fog-enabled VSDN are discussed.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF)
08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)

UniBE Contributor:

Mariano de Souza, Allan, Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

1570-8705

Publisher:

Elsevier

Language:

English

Submitter:

Dimitrios Xenakis

Date Deposited:

09 Aug 2018 16:56

Last Modified:

05 Dec 2022 15:17

Publisher DOI:

10.1016/j.adhoc.2018.07.016

BORIS DOI:

10.7892/boris.119176

URI:

https://boris.unibe.ch/id/eprint/119176

Actions (login required)

Edit item Edit item
Provide Feedback