Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2855
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dc.contributor.authorAkarsu, Alper-
dc.contributor.authorGirici, Tolga-
dc.date.accessioned2019-12-25T14:03:43Z-
dc.date.available2019-12-25T14:03:43Z-
dc.date.issued2018-03
dc.identifier.citationAkarsu, A., and Girici, T. (2017). Fairness aware multiple drone base station deployment. IET Communications, 12(4), 425-431.en_US
dc.identifier.issn1751-8628
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2855-
dc.identifier.urihttps://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0978-
dc.description.abstractThe recent advances in drone technology significantly improved the effectiveness of applications such as border surveillance, disaster management, seismic surveying, and precision agriculture. The use of drones as base stations to improve communication in the next generation wireless networks is another attractive application. However, the deployment of drone base stations (DBSs) is not an easy task and requires a carefully designed strategy. Fairness is one of the most important metrics of tactical communications or a disaster-affected network and must be considered for the efficient deployment of DBSs. In this study, a fairness-aware multiple DBS deployment algorithm is proposed. As the proposed algorithm uses particle swarm optimisation (PSO) that requires significant processing power, simpler algorithms with faster execution times are also proposed and the results are compared. The simulations are performed to evaluate the performance of the algorithms in two different network scenarios. The simulation results show that the proposed PSO-based method finds the three-dimensional locations of DBSs, achieving the best fairness performance with a minimum number of DBSs for deployment. However, it is shown that the proposed suboptimal algorithm performs very close to the PSO-based solution and requires significantly less processing time.en_US
dc.language.isoenen_US
dc.publisher Institution of Engineering and Technologyen_US
dc.relation.ispartofIET Communicationsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRemotely operated vehiclesen_US
dc.subjectaircraft communicationen_US
dc.subjectparticle swarm optimisationen_US
dc.subjectnext generation networksen_US
dc.subjectradio networksen_US
dc.subjectfairness aware multiple drone base station deploymenten_US
dc.subjectnext generation wireless networksen_US
dc.subjecttactical communicationsen_US
dc.subjectdisaster-affected networken_US
dc.subjectfairness-aware multiple DBS deployment algorithmen_US
dc.subjectparticle swarm optimisationen_US
dc.subjectPSOen_US
dc.subjectthree-dimensional locationsen_US
dc.subjectsuboptimal algorithmen_US
dc.titleFairness aware multiple drone base station deploymenten_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.volume12
dc.identifier.issue4
dc.identifier.startpage425
dc.identifier.endpage431
dc.authorid0000-0002-5705-4806-
dc.identifier.wosWOS:000426691400007en_US
dc.identifier.scopus2-s2.0-85043286400en_US
dc.institutionauthorGirici, Tolga-
dc.identifier.doi10.1049/iet-com.2017.0978-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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