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
Smart cities are promising solution for providing efficient services to the citizens with the use of Information and Communication Technologies. City automation has become essential concept for improving the quality of the citizens' lives, which gives rise to smart cities. Fog computing for Internet of Things (IoT) is considered recently an essential paradigm in smart city scenarios. In this work, we propose energy efficient Fog Servers (FSs), which delivers the information data to the mobile users (in the vehicle). We introduced the concept of energy efficiency through the judicious distribution of non-renewable or/and renewable energy to the FS, which improves outage (and dropping probability. As a first step, we optimise the locations of the FSs for IoT Information Piece Delivery (IoTPD) in a smart city vehicular environment with dropping less than 5%. Then, we maximised the energy savings by pushing dropping to a certain level (5%). To improve the dropping, the available renewable (wind) grid energy is optimally allocated to each FS. This, in turn, also reduces carbon footprint.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
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: |
|
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): | oai:eprints.whiterose.ac.uk:106927 |