Song, Liumeng, Chai, Kok Keong, Chen, Yue, Schormans, John, Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 and Vinel, Alexey (2017) QoS-aware energy efficient cooperative scheme for cluster-based IoT systems. IEEE Systems Journal. ISSN 1932-8184

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Abstract

The Internet of Things (IoT) technology with huge number power-constrained devices has been heralded to improve the operational efficiency of many industrial applications. It is vital to reduce the energy consumption of each device, however, this could also degrade the Quality of Service (QoS) provisioning. In this paper, we study the problem of how to achieve the tradeoff between the QoS provisioning and the energy efficiency for the industrial IoT systems. We first formulate the multi-objective optimization problem to achieve the objective of balancing the outage performance and the network lifetime. Then we propose to combine the Quantum Particle Swarm Optimization (QPSO) with the improved Non-dominated Sorting Genetic algorithm (NSGA-II) to obtain the Pareto optimal front. In particular, NSGA-II is applied to solve the formulated multi-objective optimization problem and QPSO algorithm is used to obtain the optimum cooperative coalition. The simulation results suggest that the proposed algorithm can achieve the tradeoff between the energy efficiency and QoS provisioning by sacrificing about 10% network lifetime but improving about 15% outage performance.

Item Type:	Article
Identifier:	10.1109/JSYST.2015.2465292
Additional Information:	© 2017 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:	Industrial IoT system, cluster, cooperative communication, network lifetime, QoS, QPSO, NSGA-II.
Subjects:	Computing > Systems > Computer networking Computing > Intelligent systems Computing > Systems Computing
Depositing User:	Jonathan Loo
Date Deposited:	12 Jul 2017 09:19
Last Modified:	04 Nov 2024 12:06
URI:	https://repository.uwl.ac.uk/id/eprint/3596

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