Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2981
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dc.contributor.authorÇiçek, Cihan Tuğrul-
dc.contributor.authorGültekin, Hakan-
dc.contributor.authorTavlı, Bülent-
dc.date.accessioned2019-12-26T14:47:03Z-
dc.date.available2019-12-26T14:47:03Z-
dc.date.issued2019
dc.identifier.citationCicek, C. T., Gultekin, H., & Tavli, B. (2019). The location-allocation problem of drone base stations. Computers & Operations Research.en_US
dc.identifier.issn0305-0548
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2981-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0305054819301704?via%3Dihub-
dc.identifier.urihttps://doi.org/10.1016/j.cor.2019.06.010-
dc.description.abstractIn this study, we consider the 3D location problem of multiple Drone Base Stations (DBSs) together with the allocation of the resources to serve the users in a wireless communication network. The problem is formulated as a dynamic capacitated single-source location-allocation problem. The capacity of a DBS is a non-linear function of the distance and the amount of resource received from terrestrial base stations. Furthermore, data rate, which is the service level, is a non-linear function of both the distance and the amount of the allocated resource. As a consequence, the optimization model is formulated as a Mixed Integer Non-Linear Program (MINLP), which has a higher complexity compared to many existing problems in the literature. We propose a novel heuristic algorithm for the efficient solution of the problem. The performance of the proposed heuristic is evaluated through an extensive computational study where the MINLP formulation is solved by the BARON solver. Computational results show that the proposed heuristic yields promising performance in terms of both CPU efficiency and solution accuracy. We also provide managerial insights about integrating DBSs into communication networks. (C) 2019 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey / Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [2211-National]
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofComputers and Operations Researchen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDrone base stationen_US
dc.subjectlocation-allocationen_US
dc.subjectdynamic capacityen_US
dc.subjectdynamic serviceen_US
dc.subjectsingle-sourceen_US
dc.subjectnon-linear optimizationen_US
dc.titleThe Location-Allocation Problem of Drone Base Stationsen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.volume111
dc.identifier.startpage155
dc.identifier.endpage176
dc.authoridCicek, Cihan Tugrul/0000-0002-3532-2638-
dc.identifier.wosWOS:000483411600012en_US
dc.identifier.scopus2-s2.0-85068173710en_US
dc.institutionauthorÇiçek, Cihan Tuğrul-
dc.institutionauthorGültekin, Hakan-
dc.institutionauthorTavlı, Bülent-
dc.identifier.doi10.1016/j.cor.2019.06.010-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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