Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/12604
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dc.contributor.authorBikas, Shadi-
dc.contributor.authorSayit, Muge-
dc.date.accessioned2025-08-10T17:36:53Z-
dc.date.available2025-08-10T17:36:53Z-
dc.date.issued2025-
dc.identifier.issn2169-3536-
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2025.3586446-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/12604-
dc.description.abstractThe performance of Internet applications can be improved by using multipath transport protocols such as Multipath TCP (MPTCP), which leverages aggregated bandwidth from multiple paths for improved throughput. MPTCP can be utilized to apply Quality of Service (QoS) and address network resiliency in order to increase the Quality of Experience (QoE) of video streaming applications. This paper introduces a novel approach for providing service differentiation to video streaming clients across different classes, while ensuring robust communication to mitigate link failures. The proposed method aims to deliver seamless streaming sessions by enhancing resilience and maintaining QoS under challenging network conditions. We evaluate the proposed approach using Dynamic Adaptive Streaming over HTTP (DASH), a widely used video streaming application that delivers high-quality media content over the Internet. The aim is to evaluate the performance of the proposed approach by focusing on user groups belonging to different service classes, each with varying QoE requirements. Additionally, we assess the resiliency of the proposed algorithm in scenarios involving subflow failures within the MPTCP connection. The results demonstrate that the proposed approach outperforms alternative methods in maintaining network connectivity and sustaining a high level of QoE, even in the event of subflow disconnections.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkiye (TUBITAK) Electric, Electronic and Informatics Research Group (EEEAG) [121E033]en_US
dc.description.sponsorshipThis work was supported by the Scientific and Technological Research Council of Turkiye (TUBITAK) Electric, Electronic and Informatics Research Group (EEEAG) under Grant 121E033.en_US
dc.language.isoenen_US
dc.publisherIEEE-Inst Electrical Electronics Engineers incen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdaptive Streamingen_US
dc.subjectGenetic Algorithmen_US
dc.subjectHASen_US
dc.subjectDASHen_US
dc.subjectSDNen_US
dc.subjectQuality of Serviceen_US
dc.subjectRoutingen_US
dc.subjectAdaptive Streamingen_US
dc.subjectGenetic Algorithmen_US
dc.subjectHASen_US
dc.subjectDASHen_US
dc.subjectSDNen_US
dc.subjectQuality of Serviceen_US
dc.subjectRoutingen_US
dc.titleProviding QoS and Resiliency for Video Streaming Over MPTCPen_US
dc.typeArticleen_US
dc.departmentTOBB University of Economics and Technologyen_US
dc.identifier.volume13en_US
dc.identifier.startpage122151en_US
dc.identifier.endpage122163en_US
dc.identifier.wosWOS:001531849600019-
dc.identifier.scopus2-s2.0-105010206393-
dc.identifier.doi10.1109/ACCESS.2025.3586446-
dc.authorscopusid57201211132-
dc.authorscopusid16231393900-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
dc.identifier.wosqualityQ2-
dc.description.woscitationindexScience Citation Index Expanded-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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