Energy efficiency maximization in a wireless powered IoT sensor network for water quality monitoring

dc.contributor.authorOlatinwo, Segun Olatunbosun
dc.contributor.authorJoubert, Trudi-Heleen
dc.contributor.emailtrudi.joubert@up.ac.zaen_ZA
dc.date.accessioned2021-08-11T13:01:56Z
dc.date.issued2020-07
dc.description.abstractThis study presents novel approaches to the allocation of resources in Internet-of-Things sensor network (IoTSN) systems applied to water-quality monitoring for optimal and more sustainable utilization of resources. To tackle the long-standing energy scarcity issue that currently plagues sensor network (SN) systems, energy harvesting is explored and exploited to maximize its untapped potential to develop asuccessive wireless power sensor network (WPSN) system embedded with a scheduling algorithm, and operate as a non-orthogonal multiple access (NOMA) system. Similarly, quality of service parameters are crucial design considerations for network efficiency,and energy efficiency (EE) is considered here. Consequently, an EE optimization problem is formulated for the successiveWPSN system and solved by exploiting the problem structure and through a meta-heuristic algorithm. The new system is validated through the numerical simulation results presented in this work by thoroughly analyzing, evaluating and comparing the proposed meta-heuristic based WPSN system with the baseline state-of-the-art WPSN systems that combined a meta-heuristic algorithm, two additional meta-heuristic algorithms including genetic algorithm (GA) and ant-colony optimization (ACO) algorithm as well as a non-meta-heuristic algorithm – specifically an iterative based Dinkelbach algorithm.The experimental outcomes show that the proposed system significantly outperforms the contemporary WPSN systems in terms of EE performance gains.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.embargo2022-05-22
dc.description.librarianhj2021en_ZA
dc.description.urihttp://www.elsevier.com/locate/comneten_ZA
dc.identifier.citationOlatinwo, S.O. & Joubert, T.H. 2020, 'Energy efficiency maximization in a wireless powered IoT sensor network for water quality monitoring', Computer Networks, vol. 176, art. 107237, pp. 1-10.en_ZA
dc.identifier.issn1389-1286 (print)
dc.identifier.issn1872-7069 (online)
dc.identifier.other10.1016/j.comnet.2020.107237
dc.identifier.urihttp://hdl.handle.net/2263/81242
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2020 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Computer Networks. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Computer Networks, Computer Networks, vol. 176, art. 107237, pp. 1-10, 2020. doi : 10.1016/j.comnet.2020.107237.en_ZA
dc.subjectInternet-of-Things sensor network (IoTSN)en_ZA
dc.subjectWireless power sensor network (WPSN)en_ZA
dc.subjectWater qualityen_ZA
dc.subjectRF energy harvestingen_ZA
dc.subjectInternet of Things (IoT)en_ZA
dc.subjectParticle swarm optimization (PSO)en_ZA
dc.subjectNon-orthogonal multiple accessen_ZA
dc.subjectEnergy efficiencyen_ZA
dc.subjectGreen communicationen_ZA
dc.subjectAnt-colony optimization (ACO)en_ZA
dc.subjectNon-orthogonal multiple access (NOMA)en_ZA
dc.titleEnergy efficiency maximization in a wireless powered IoT sensor network for water quality monitoringen_ZA
dc.typePostprint Articleen_ZA

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