Energy Efficient and QoS-Aware Routing Protocol for Wireless Sensor Network-Based Smart Grid Applications in the Context of Industry 4.0

dc.contributor.author Faheem, M.
dc.contributor.author Gungor, V. C.
dc.date.accessioned 2025-09-25T10:46:06Z
dc.date.available 2025-09-25T10:46:06Z
dc.date.issued 2018
dc.description Phd, Muhammad Faheem,/0000-0003-4628-4486 en_US
dc.description.abstract Recently, there have been great advances in internet of things (IoT) and wireless sensor networks (WSNs) leading to the fourth industrial revolution in power grid, namely, Smart Grid Industry 4.0 (SGI 4.0). In the Smart Grid Industry 4.0 framework, the WSNs have the potential to improve power grid efficiency by cable replacement, deployment flexibility, and cost reduction. However, the smart grid (SG) environment that the WSNs operate in is very challenging because of equipment noise, dust, heat, electromagnetic interference, multipath effects and fading, which make it difficult for current WSNs to provide reliable communication. For SGI 4.0 to come true, a WSN-based highly reliable communication infrastructure is essential for successful operation of the next-generation electricity power grids. To address this need, in this paper a novel dynamic clustering based energy efficient and quality-of-service (QoS)-aware routing protocol (called EQRP), which is inspired by the real behavior of the bird mating optimization (BMO), has been proposed. The proposed distributed scheme improves network reliability significantly and reduces excessive packets retransmissions for WSN-based SG applications. Performance results show that the proposed protocol has successfully reduced the end-to-end delay and has improved packet delivery ratio, memory utilization, residual energy, and throughput. (C) 2017 Elsevier B.V. All rights reserved. en_US
dc.description.sponsorship Turkish National Academy of Sciences Distinguished Young Scientist Award Program (TUBA-GEBIP) [V.G./TUBA-GEBIP/2013-14] en_US
dc.description.sponsorship The work of V.C. Gungor was supported by the Turkish National Academy of Sciences Distinguished Young Scientist Award Program (TUBA-GEBIP) under Grand No: V.G./TUBA-GEBIP/2013-14. en_US
dc.identifier.doi 10.1016/j.asoc.2017.07.045
dc.identifier.issn 1568-4946
dc.identifier.issn 1872-9681
dc.identifier.scopus 2-s2.0-85028070104
dc.identifier.uri https://doi.org/10.1016/j.asoc.2017.07.045
dc.identifier.uri https://hdl.handle.net/20.500.12573/3747
dc.language.iso en en_US
dc.publisher Elsevier Science Bv en_US
dc.relation.ispartof Applied Soft Computing en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Internet of Things en_US
dc.subject Industry 4.0 en_US
dc.subject Smart Grid Industry 4.0 en_US
dc.subject Smart Grid en_US
dc.subject Wireless Sensor Network en_US
dc.subject Routing en_US
dc.subject Bio-Inspired en_US
dc.subject Bird Mating Optimization en_US
dc.title Energy Efficient and QoS-Aware Routing Protocol for Wireless Sensor Network-Based Smart Grid Applications in the Context of Industry 4.0 en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id Phd, Muhammad Faheem,/0000-0003-4628-4486
gdc.author.scopusid 58648789900
gdc.author.scopusid 10739803300
gdc.author.wosid Faheem, Muhammad/Abe-4074-2020
gdc.bip.impulseclass C3
gdc.bip.influenceclass C4
gdc.bip.popularityclass C3
gdc.coar.access metadata only access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Faheem, M.; Gungor, V. C.] Abdullah Gul Univ, Dept Comp Engn, TR-38039 Kayseri, Turkey en_US
gdc.description.endpage 922 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 910 en_US
gdc.description.volume 68 en_US
gdc.description.woscitationindex Science Citation Index Expanded - Conference Proceedings Citation Index - Science
gdc.description.wosquality Q1
gdc.identifier.openalex W2739837320
gdc.identifier.wos WOS:000433155300068
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gdc.oaire.isgreen false
gdc.oaire.popularity 6.86554E-8
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 13.4774
gdc.openalex.normalizedpercentile 0.99
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 115
gdc.plumx.crossrefcites 6
gdc.plumx.mendeley 232
gdc.plumx.scopuscites 125
gdc.scopus.citedcount 129
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