Energy-aware smart connectivity for IoT networks: enabling smart ports

Ozturk, M., Imran, M. and Jaber, M. (2018) Energy-aware smart connectivity for IoT networks: enabling smart ports. Wireless Communications and Mobile Computing, 2018, 5379326. (doi: 10.1155/2018/5379326)

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The Internet of Things (IoT) is spreading much faster than the speed at which the supporting technology is maturing. Today, there are tens of wireless technologies competing for IoT and a myriad of IoT devices with disparate capabilities and constraints. Moreover, each of many verticals employing IoT networks dictates distinctive and differential network qualities. In this work, we present a context-aware framework that jointly optimises the connectivity and computational speed of the IoT network to deliver the qualities required by each vertical. Based on a smart port application, we identify energy efficiency, security, and response time as essential quality features and consider a wireless realisation of IoT connectivity using short range and long-range technologies. We propose a reinforcement learning technique and demonstrate significant reduction in energy consumption while meeting the quality requirements of all related applications.

Item Type:Articles
Additional Information:The first author was supported by the Republic of Turkey Ministry of National Education (MoNE-1416/YLSY).
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Öztürk, Metin
Authors: Ozturk, M., Imran, M., and Jaber, M.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Wireless Communications and Mobile Computing
ISSN (Online):1530-8677
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Wireless Communications and Mobile Computing 2018:5379326
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3007250Distributed Autonomous Resilient Emergency Management System (DARE)Muhammad ImranEngineering and Physical Sciences Research Council (EPSRC)EP/P028764/1ENG - Systems Power & Energy