Audu, GA, Bhattacharya, S and Elmirghani, JMH (2015) Wind Energy Dependent Rate Adaptation for Roadside Units. In: Next Generation Mobile Applications, Services and Technologies, 2015 9th International Conference on. 9th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST 2015), 09-11 Sep 2015, Cambridge, United Kingdom. IEEE , pp. 156-160. ISBN 978-1-4799-8660-6
Abstract
In this paper, we propose a rate adaptive technique for wind powered standalone (off-grid) roadside units (RSUs) in a motorway environment. In a non-rate adaptive system, the transient nature of renewable wind energy causes the RSUs to either transmit at full data rate or not transmit at all based on the availability of sufficient energy. In rate adaptation, the data rate of an RSU adapts according to the available energy. Further, the RSU saves transmission energy by operating at a lower data rate, even when enough energy is available. The saved energy, in turn, is used to maintain the data rate during energy deficiency, thereby minimizing outage and improving the quality of service (QoS). The performance analysis shows that the wind energy dependent rate adaptive RSU delivers a more energy efficient service with acceptable quality compared to a non-rate adaptive deployment in a renewable energy solely powered RSU. The proposed rate adaptive algorithm can be as well deployed to wind-powered communication base stations (BSs) and sensor networks.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2015, IEEE. 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. |
Keywords: | Roadside unit; motorway; renewable energy; adaptive rate. |
Dates: |
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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: | 17 Jul 2015 10:47 |
Last Modified: | 16 Jan 2018 18:22 |
Published Version: | http://doi.org/10.1109/NGMAST.2015.26 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/NGMAST.2015.26 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88033 |