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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-18766
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dc.contributor.authorKalinagac, Onur-
dc.contributor.authorKafiloglu, S. Sinem-
dc.contributor.authorAlagöz, Fatih-
dc.contributor.authorGür, Gürkan-
dc.date.accessioned2019-11-20T10:54:07Z-
dc.date.available2019-11-20T10:54:07Z-
dc.date.issued2019-
dc.identifier.isbn978-1-7281-1220-6de_CH
dc.identifier.issn0018-9219de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18766-
dc.description© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.de_CH
dc.description.abstractIn cases of catastrophic events such as natural disasters or physical calamities, current network infrastructure can become inoperative. Furthermore, there are transient events leading to excessive demand surges where it is needed to deploy additional network capacity on-demand. In such cases, rapid network deployments become vital to establish communications and enable networked services. Unmanned Aerial Vehicle (UAV) networks are good candidates for this kind of operation. Software-defined networking and content-centric operation are promising technologies to enable agile control, network visibility and efficient content delivery via centralized optimization in these challenged systems. In this work, we consider an edge network which is composed of UAVs and serves in a content-centric mode with in-network caching and device-to-device (D2D) transmissions. We develop a cache placement and selection scheme for energy efficient operation. We also investigate how such a system performs under different operating conditions.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.relation.ispartofProceedings of the IEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleCaching and D2D sharing for content delivery in software-defined UAV networksde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1109/VTCFall.2019.8891497de_CH
dc.identifier.doi10.21256/zhaw-18766-
zhaw.conference.details90th Vehicular Technology Conference (VTC2019-Fall), Honolulu HI, USA, 22 - 25 September 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)de_CH
zhaw.webfeedInformation Securityde_CH
zhaw.author.additionalNode_CH
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Kalinagac, O., Kafiloglu, S. S., Alagöz, F., & Gür, G. (2019). Caching and D2D sharing for content delivery in software-defined UAV networks. Proceedings of the IEEE. https://doi.org/10.1109/VTCFall.2019.8891497
Kalinagac, O. et al. (2019) ‘Caching and D2D sharing for content delivery in software-defined UAV networks’, in Proceedings of the IEEE. IEEE. Available at: https://doi.org/10.1109/VTCFall.2019.8891497.
O. Kalinagac, S. S. Kafiloglu, F. Alagöz, and G. Gür, “Caching and D2D sharing for content delivery in software-defined UAV networks,” in Proceedings of the IEEE, 2019. doi: 10.1109/VTCFall.2019.8891497.
KALINAGAC, Onur, S. Sinem KAFILOGLU, Fatih ALAGÖZ und Gürkan GÜR, 2019. Caching and D2D sharing for content delivery in software-defined UAV networks. In: Proceedings of the IEEE. Conference paper. IEEE. 2019. ISBN 978-1-7281-1220-6
Kalinagac, Onur, S. Sinem Kafiloglu, Fatih Alagöz, and Gürkan Gür. 2019. “Caching and D2D Sharing for Content Delivery in Software-Defined UAV Networks.” Conference paper. In Proceedings of the IEEE. IEEE. https://doi.org/10.1109/VTCFall.2019.8891497.
Kalinagac, Onur, et al. “Caching and D2D Sharing for Content Delivery in Software-Defined UAV Networks.” Proceedings of the IEEE, IEEE, 2019, https://doi.org/10.1109/VTCFall.2019.8891497.


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