QERP: Quality-Of (QoS) Aware Evolutionary Routing Protocol for Underwater Wireless Sensor Networks

dc.contributor.author Faheem, Muhammad
dc.contributor.author Tuna, Gurkan
dc.contributor.author Gungor, Vehbi Cagri
dc.date.accessioned 2025-09-25T10:55:51Z
dc.date.available 2025-09-25T10:55:51Z
dc.date.issued 2018
dc.description.abstract Quality-of-service (QoS) aware reliable data delivery is a challenging issue in underwater wireless sensor networks (UWSNs). This is clue to impairments of the acoustic transmission caused by excessive noise, extremely long propagation delays, high bit error rate, low bandwidth capacity, multipath effects, and interference. To address these challenges, meet the commonly used UWSN performance indicators, and overcome the inefficiencies of the existing clustering-based routing schemes, a novel QoS aware evolutionary cluster based routing protocol (QERP) has been proposed for UWSN-based applications. The proposed protocol improves packet delivery ratio, and reduces average end-to-end delay and overall network energy consumption. Our comparative performance evaluations demonstrate that QERP is successful in achieving low network delay, high packet delivery ratio, and low energy consumption. en_US
dc.description.sponsorship Turkish Scientific and Technical Research Council [114E248] en_US
dc.description.sponsorship This work was supported by the Turkish Scientific and Technical Research Council under Grant 114E248. en_US
dc.identifier.doi 10.1109/JSYST.2017.2673759
dc.identifier.issn 1932-8184
dc.identifier.issn 1937-9234
dc.identifier.issn 2373-7816
dc.identifier.scopus 2-s2.0-85014856717
dc.identifier.uri https://doi.org/10.1109/JSYST.2017.2673759
dc.identifier.uri https://hdl.handle.net/20.500.12573/4508
dc.language.iso en en_US
dc.publisher IEEE-Inst Electrical Electronics Engineers Inc en_US
dc.relation.ispartof IEEE Systems Journal en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Bioinspired en_US
dc.subject Clustering en_US
dc.subject Evolutionary en_US
dc.subject Routing en_US
dc.subject Underwater Wireless Sensor Networks (UWSNS) en_US
dc.title QERP: Quality-Of (QoS) Aware Evolutionary Routing Protocol for Underwater Wireless Sensor Networks en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 58648789900
gdc.author.scopusid 48862103700
gdc.author.scopusid 10739803300
gdc.author.wosid Faheem, Muhammad/Abe-4074-2020
gdc.author.wosid Tuna, Gurkan/Aag-4412-2019
gdc.bip.impulseclass C3
gdc.bip.influenceclass C4
gdc.bip.popularityclass C3
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Faheem, Muhammad; Gungor, Vehbi Cagri] Abdullah Gul Univ, Dept Comp Engn, TR-38039 Kayseri, Turkey; [Tuna, Gurkan] Trakya Univ, Dept Comp Programming, TR-22020 Edirne, Turkey en_US
gdc.description.endpage 2073 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 2066 en_US
gdc.description.volume 12 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W2592990940
gdc.identifier.wos WOS:000443049900004
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.downloads 2
gdc.oaire.impulse 36.0
gdc.oaire.influence 6.9865105E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Bioinspired
gdc.oaire.keywords Delay
gdc.oaire.keywords Evolutionary
gdc.oaire.keywords Underwater Wireless Sensor Networks (Uwsns)
gdc.oaire.keywords Clustering
gdc.oaire.keywords Routing
gdc.oaire.popularity 3.5939106E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.views 3
gdc.openalex.collaboration National
gdc.openalex.fwci 11.5772
gdc.openalex.normalizedpercentile 0.99
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 74
gdc.plumx.crossrefcites 40
gdc.plumx.mendeley 52
gdc.plumx.scopuscites 83
gdc.scopus.citedcount 88
gdc.wos.citedcount 73
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