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An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment

Kumar, Neeraj and Dhand, Tanya and Jindal, Anish and Aujla, Gagangeet Singh and Cao, Haotong and Yang, Longxiang (2020) An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment. In: IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2020-08-31 - 2020-09-03, Cork, Ireland.

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Abstract

The penetration of electric vehicles (EVs) embedded with information and communication technology (ICT) devices and tools form a huge connected network that can be viewed as Internet-of-EVs(IoEV). The huge data gathered in IoEV network needs to be processed at cloud-based infrastructure which has abundant resources. However, due to the high mobility of the EVs, resource management from the remote cloud service providers has become one of the most difficult tasks to be performed in this environment. In this regard, data analytics fused with fog or edge computing can be leveraged to increase the resource availability in V2G environment where resources are provided to the EVs on the edge of the network. Keeping these points in mind, this paper presents a new framework for integration of cloud computing and IoEV on the edge of the network which provides flexibility to the end users for smooth execution of various applications. In addition, a resource allocation and job scheduling strategy for EVs at the edge of the network is presented in the paper. The results obtained with respect to various performance metrics confirm the applicability of the proposed scheme for future applications in V2G scenario.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 03 Dec 2020 09:55
Last Modified: 03 Dec 2020 09:55
URI: http://repository.essex.ac.uk/id/eprint/29273

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