Yosuf, B, Musa, M, Elgorashi, T et al. (2 more authors) (2018) Energy Efficient Service Distribution in Internet of Things. In: ICTON 2018. ICTON 2018: 20th International Conference on Transparent Optical Networks, 01-05 Jul 2018, Bucharest, Romania. IEEE ISBN 978-1-5386-6605-0
Abstract
The Internet of Things (IoT) networks are expected to involve myriad of devices, ranging from simple sensors to powerful single board computers and smart phones. The great advancement in computational power of embedded technologies have enabled the integration of these devices into the IoT network, allowing for cloud functionalities to be extended near to the source of data. In this paper we study a multi-layer distributed IoT architecture supported by fog and cloud. We optimize the placement of the IoT services in this architecture so that the total power consumption is minimized. Our results show that, introducing local computation at the IoT layer can bring up to 90% power savings compared with general purpose servers in a central cloud.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. This is an author produced version of a paper published in ICTON 2018. 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: | IoT; MILP; service distribution; fog; cloud; edge |
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/K503836/1 EPSRC EP/H040536/1 EPSRC EP/K016873/1 EPSRC EP/R511717/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Aug 2018 14:54 |
Last Modified: | 03 Dec 2018 14:58 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICTON.2018.8473659 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134746 |