Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1359
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dc.contributor.authorCeran, Elif Tuğçe-
dc.contributor.authorErkılıç, Tuğçe-
dc.contributor.authorUysal-Bıyıkoğlu, Elif-
dc.contributor.authorGirici, Tolga-
dc.contributor.authorLeblebicioğlu, Kemal-
dc.date.accessioned2019-06-26T07:43:38Z
dc.date.available2019-06-26T07:43:38Z
dc.date.issued2017-04
dc.identifier.citationCeran, E. T., Erkilic, T., Uysal?Biyikoglu, E., Girici, T., & Leblebicioglu, K. (2017). Optimal energy allocation policies for a high altitude flying wireless access point. Transactions on Emerging Telecommunications Technologies, 28(4), e3034.en_US
dc.identifier.issn2161-3915
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/full/10.1002/ett.3034-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/1359-
dc.description.abstractInspired by recent industrial efforts towards high altitude flying wireless access points powered by renewable energy, an online resource allocation problem for a mobile access point travelling at high altitude is formulated. The access point allocates its resources (available energy) to maximise the total utility (reward) provided to a sequentially observed set of users demanding service. The problem is formulated as a 0/1 dynamic knapsack problem with incremental capacity over a finite time horizon, and the solution of which is quite open in the literature. We address the problem through deterministic and stochastic formulations followed by a model where the statistics of the underlying processes are not known and learned through rule-based and neural network approaches. For the deterministic problem, several online approximations including optimisation via genetic algorithm and rule-based approach are proposed based on an instantaneous threshold that can adapt to short-time-scale dynamics. For the stochastic model, after showing the optimality of a threshold-based solution on a dynamic programming formulation, an approximate threshold-based policy is obtained. The performances of proposed policies are compared with that of the optimal solution obtained through dynamic programming. Copyright (C) 2016 John Wiley & Sons, Ltd.en_US
dc.description.sponsorshipE. Uysal-Biyikoglu was supported by a Science Academy BAGEP award and in part through the E-CROPS project funded by TUBITAK.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofTransactions On Emerging Telecommunications Technologiesen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectUnmanned aerial vehicles (UAV)en_US
dc.subjectAd hoc networksen_US
dc.subjectvehicles UAVsen_US
dc.titleOptimal energy allocation policies for a high altitude flying wireless access pointen_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.volume28
dc.identifier.issue4
dc.authorid0000-0002-5705-4806-
dc.identifier.wosWOS:000400760700008en_US
dc.identifier.scopus2-s2.0-84961266560en_US
dc.institutionauthorGirici, Tolga-
dc.contributor.YOKid143581-
dc.identifier.doi10.1002/ett.3034-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
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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