Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/56533
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dc.contributor.authorGulec, O.-
dc.contributor.authorSahin, E.-
dc.date.accessioned2024-01-30T14:31:12Z-
dc.date.available2024-01-30T14:31:12Z-
dc.date.issued2023-
dc.identifier.isbn9798350329674-
dc.identifier.urihttps://doi.org/10.1109/WINCOM59760.2023.10323003-
dc.identifier.urihttps://hdl.handle.net/11499/56533-
dc.description10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023 -- 26 October 2023 through 28 October 2023 -- 194643en_US
dc.description.abstractDue to the energy constraints of nano-sensors, all network operations should be optimized in Wireless Nano-Sensor Networks (WNSNs). Nature-inspired metaheuristics have been widely used for solving the network problems such as routing, clustering, security and such areas in the literature. Therefore, in this paper, Black Widow optimization (BWO) based nano-node clustering algorithm is proposed in order to achieve maximum node coverage on WNSNs. The proposed algorithm is compared with 2 different Genetic Algorithm (GA) setups. According to the results, the proposed method successfully covers the nano-nodes by the chosen head nodes on the network up to 99.876% on average. © 2023 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlack Widow optimizationen_US
dc.subjectInternet of Nano-Thingsen_US
dc.subjectNode Coverageen_US
dc.subjectWireless Nano-Sensor Networksen_US
dc.subjectBiomimeticsen_US
dc.subjectClustering algorithmsen_US
dc.subjectNanosensorsen_US
dc.subjectSensor nodesen_US
dc.subjectBlack widow optimizationen_US
dc.subjectEnergy constrainten_US
dc.subjectInternet of nano-thingen_US
dc.subjectMetaheuristicen_US
dc.subjectNano-sensorsen_US
dc.subjectNetwork operationsen_US
dc.subjectNode coverageen_US
dc.subjectOptimisationsen_US
dc.subjectSensors networken_US
dc.subjectWireless nano-sensor networken_US
dc.subjectGenetic algorithmsen_US
dc.titleMaximizing Nano-Sensor Node Coverage using BWO in WNSNsen_US
dc.typeConference Objecten_US
dc.departmentPamukkale Universityen_US
dc.identifier.doi10.1109/WINCOM59760.2023.10323003-
dc.authorscopusid56766128700-
dc.authorscopusid57201153923-
dc.identifier.scopus2-s2.0-85179508148en_US
dc.institutionauthor…-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.dept08.01. Management Information Systems-
crisitem.author.dept08.01. Management Information Systems-
Appears in Collections:İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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