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Software Defined Networking-based Vehicular Adhoc Network with Fog Computing

Lee, GM (2015) Software Defined Networking-based Vehicular Adhoc Network with Fog Computing. In: 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM) . pp. 1202-1207. (IFIP/IEEE international symposium on integrated network management / International workshop on management of the future Internet, 11th - 20th May 2015, Ottawa, Canada).

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Vehicular Adhoc Networks (VANETs) have been attracted a lot of research recent years. Although VANETs are deployed in reality offering several services, the current architecture has been facing many difficulties in deployment and management because of poor connectivity, less scalability, less flexibility and less intelligence. We propose a new VANET architecture called FSDN which combines two emergent computing and network paradigm Software Defined Networking (SDN) and Fog Computing as a prospective solution. SDN-based architecture provides flexibility, scalability, programmability and global knowledge while Fog Computing offers delay-sensitive and location-awareness services which could be satisfy the demands of future VANETs scenarios. We figure out all the SDN-based VANET components as well as their functionality in the system. We also consider the system basic operations in which Fog Computing are leveraged to support surveillance services by taking into account resource manager and Fog orchestration models. The proposed architecture could resolve the main challenges in VANETs by augmenting Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Base Station communications and SDN centralized control while optimizing resources utility and reducing latency by integrating Fog Computing. Two use-cases for non-safety service (data streaming) and safety service (Lane-change assistance) are also presented to illustrate the benefits of our proposed architecture.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Software Defined Network; Fog Computing; VANET; OpenFlow
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: IEEE
Date Deposited: 19 Mar 2015 15:33
Last Modified: 13 Apr 2022 15:13
URI: https://researchonline.ljmu.ac.uk/id/eprint/706
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