Energy Efficient Fog Servers for Internet of Things Information Piece Delivery (IoTIPD) in a Smart City Vehicular Environment

Igder, S, Bhattacharya, S and Elmirghani, JMH (2016) Energy Efficient Fog Servers for Internet of Things Information Piece Delivery (IoTIPD) in a Smart City Vehicular Environment. In: Proceedings. 2016 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST 2016), 24-26 Aug 2016, Cardiff, UK. IEEE , Los Alamitos, CA, USA , pp. 99-104. ISBN 978-1-5090-0949-7

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Igder, S
  • Bhattacharya, S
  • Elmirghani, JMH
Copyright, Publisher and Additional Information:

© 2016 IEEE. This is an author produced version of a paper published in Proceedings: 2016 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST 2016). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Energy Efficiency; Fog computing; Internet of Things (IoT); Renewable Energy; Smart City
Dates:
  • Published: 29 December 2016
  • Accepted: 29 June 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Funding Information:
Funder
Grant number
EPSRC
EP/H040536/1
Depositing User: Symplectic Publications
Date Deposited: 03 Nov 2016 11:20
Last Modified: 14 Apr 2017 03:42
Published Version: https://doi.org/10.1109/NGMAST.2016.17
Status: Published
Publisher: IEEE
Identification Number: 10.1109/NGMAST.2016.17
Open Archives Initiative ID (OAI ID):

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