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dc.contributor.authorGarrido Abenza, Pedro Pablo-
dc.contributor.authorPiñol, Pablo-
dc.contributor.authorPerez Malumbres, Manuel-
dc.contributor.authorLópez Granado, Otoniel Mario-
dc.contributor.otherDepartamentos de la UMH::Ingeniería de Computadoreses_ES
dc.date.accessioned2024-02-09T12:30:29Z-
dc.date.available2024-02-09T12:30:29Z-
dc.date.created2019-04-
dc.identifier.urihttps://hdl.handle.net/11000/31382-
dc.description.abstractVehicular Ad-hoc Networks contribute to the Intelligent Transportation Systems by providing a set of services related to traffic, mobility, safe driving, and infotainment applications. One of the most challenging applications is video delivery, since it has to deal with several hurdles typically found in wireless communications, like high node mobility, bandwidth limitations and high loss rates. In this work, we propose an integrated simulation framework that will provide a multilayer view of a particular video delivery session with a bunch of simulation results at physical (i.e., collisions), MAC (i.e., packet delay), application (i.e.,%of lost frames), and user levels (i.e., perceptual video quality). With this tool, we can analyze the performance of video streaming over vehicular networks with a high level of detail, giving us the keys to better understand and, as a consequence, improve video delivery services.es_ES
dc.formatapplication/pdfes_ES
dc.format.extent5es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.relation.ispartofIEEE 88th Vehicular Technology Conference (VTC-Fall) 27-30 Aug. 2018es_ES
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectVehicular networkses_ES
dc.subjectVideo deliveryes_ES
dc.subjectQoSes_ES
dc.subjectQoEes_ES
dc.subjectHEVCes_ES
dc.subjectOMNeT++es_ES
dc.subjectVeinses_ES
dc.subjectSUMOes_ES
dc.subject.otherCDU::6 - Ciencias aplicadas::62 - Ingeniería. Tecnologíaes_ES
dc.titleSimulation Framework for Evaluating Video Delivery Services over Vehicular Networkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1109/VTCFall.2018.8691008es_ES
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