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dc.contributor.authorFaheem, Muhammad
dc.contributor.authorButt, Rizwan Aslam
dc.contributor.authorRaza, Basit
dc.contributor.authorAlquhayz, Hani
dc.contributor.authorAshraf, Muhammad Waqar
dc.contributor.authorRaza, Saleem
dc.contributor.authorBin Ngadi, Md Asri
dc.date.accessioned2021-01-18T12:41:55Z
dc.date.available2021-01-18T12:41:55Z
dc.date.issued04.03.2020en_US
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/20.500.12573/459
dc.descriptionThis work was supported by the Deanship of Scientific Research at Majmaah University, Saudi Arabia.en_US
dc.description.abstractEnergy-efficient and reliable data gathering using highly stable links in underwater wireless sensor networks (UWSNs) is challenging because of time and location-dependent communication characteristics of the acoustic channel. In this paper, we propose a novel dynamic firefly mating optimization inspired routing scheme called FFRP for the internet of UWSNs-based events monitoring applications. The proposed FFRP scheme during the events data gathering employs a self-learning based dynamic firefly mating optimization intelligence to find the highly stable and reliable routing paths to route packets around connectivity voids and shadow zones in UWSNs. The proposed scheme during conveying information minimizes the high energy consumption and latency issues by balancing the data traffic load evenly in a large-scale network. In additions, the data transmission over highly stable links between acoustic nodes increases the overall packets delivery ratio and network throughput in UWSNs. Several simulation experiments are carried out to verify the effectiveness of the proposed scheme against the existing schemes through NS2 and AquaSim 2.0 in UWSNs. The experimental outcomes show the better performance of the developed protocol in terms of high packets delivery ratio (PDR) and network throughput (NT) with low latency and energy consumption (EC) compared to existing routing protocols in UWSNs.en_US
dc.description.sponsorshipDeanship of Scientific Research at Majmaah University, Saudi Arabiaen_US
dc.language.isoengen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USAen_US
dc.relation.isversionof10.1109/ACCESS.2020.2976105en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectrouting protocolen_US
dc.subjectunderwater wireless sensor networken_US
dc.subjectfirefly mating optimizationen_US
dc.subjectbio-inspired routingen_US
dc.subjectInternet of Underwater Thingsen_US
dc.subjectThroughputen_US
dc.subjectMonitoringen_US
dc.subjectOptimizationen_US
dc.subjectEnergy consumptionen_US
dc.subjectReliabilityen_US
dc.subjectRoutingen_US
dc.titleFFRP: Dynamic Firefly Mating Optimization Inspired Energy Efficient Routing Protocol for Internet of Underwater Wireless Sensor Networksen_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0003-1591-7041en_US
dc.contributor.authorID0000-0003-4907-6359en_US
dc.contributor.authorID0000-0002-4784-0918en_US
dc.contributor.authorID0000-0003-4628-4486en_US
dc.contributor.authorID0000-0001-6711-2363en_US
dc.identifier.volumeVolume: 8en_US
dc.identifier.startpage39587en_US
dc.identifier.endpage39604en_US
dc.relation.journalIEEE ACCESSen_US
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


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