The dissemination of real-time videos on Vehicle Networks (VANETs), covers numerous services such as: emergency videos and advertisements. These face many challenges due to the quality and environmental requirements of VANETs. To address these challenges and reduce routing overhead, statistical routing protocols (SRPs) have been proposed for the distribution of video streams on VANETs, typically using positioning and Quality of Service parameters. However, considering the users' perspective, concern is also required with issues related to acceptance by the Human Visual System. This book focuses on improving the QoE of real-time videos on VANETs. Thus, a multi-layer mechanism based on QoE is proposed, modularly coupled in SRPs to offer parameters related to video on the network. From the proposed solution, the network nodes decide for themselves whether to retransmit the video sequences or not, driving the system. Results show that the gains in the proposed protocol compared to other current SRPs have forced video dissemination with greater support for QoE, less routing overhead and satisfactory achievability.
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Computer Engineer and PhD in Electrical Engineering (UFPA/UCLA 2017). He holds a PhD in Sandwich Abroad (SWE) from the University of California at UCLA, Network Research Laboratory (NRL). He is currently a Professor at the Federal Rural University of the Amazon. He works in themes such as: Quality of Experience, Networks and Multimedia.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The dissemination of real-time videos on Vehicle Networks (VANETs), covers numerous services such as: emergency videos and advertisements. These face many challenges due to the quality and environmental requirements of VANETs. To address these challenges and reduce routing overhead, statistical routing protocols (SRPs) have been proposed for the distribution of video streams on VANETs, typically using positioning and Quality of Service parameters. However, considering the users' perspective, concern is also required with issues related to acceptance by the Human Visual System. This book focuses on improving the QoE of real-time videos on VANETs. Thus, a multi-layer mechanism based on QoE is proposed, modularly coupled in SRPs to offer parameters related to video on the network. From the proposed solution, the network nodes decide for themselves whether to retransmit the video sequences or not, driving the system. Results show that the gains in the proposed protocol compared to other current SRPs have forced video dissemination with greater support for QoE, less routing overhead and satisfactory achievability. 124 pp. Englisch. Bestandsnummer des Verkäufers 9786202603881
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnComputeringenieur und Doktor der Elektrotechnik (UFPA/UCLA 2017). Er haelt einen Doktortitel in Sandwich im Ausland (SWE) von der University of California an der UCLA, Network Research Laboratory (NRL). Derzeit ist er Profe. Bestandsnummer des Verkäufers 599008010
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The dissemination of real-time videos on Vehicle Networks (VANETs), covers numerous services such as: emergency videos and advertisements. These face many challenges due to the quality and environmental requirements of VANETs. To address these challenges and reduce routing overhead, statistical routing protocols (SRPs) have been proposed for the distribution of video streams on VANETs, typically using positioning and Quality of Service parameters. However, considering the users' perspective, concern is also required with issues related to acceptance by the Human Visual System. This book focuses on improving the QoE of real-time videos on VANETs. Thus, a multi-layer mechanism based on QoE is proposed, modularly coupled in SRPs to offer parameters related to video on the network. From the proposed solution, the network nodes decide for themselves whether to retransmit the video sequences or not, driving the system. Results show that the gains in the proposed protocol compared to other current SRPs have forced video dissemination with greater support for QoE, less routing overhead and satisfactory achievability.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Bestandsnummer des Verkäufers 9786202603881
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The dissemination of real-time videos on Vehicle Networks (VANETs), covers numerous services such as: emergency videos and advertisements. These face many challenges due to the quality and environmental requirements of VANETs. To address these challenges and reduce routing overhead, statistical routing protocols (SRPs) have been proposed for the distribution of video streams on VANETs, typically using positioning and Quality of Service parameters. However, considering the users' perspective, concern is also required with issues related to acceptance by the Human Visual System. This book focuses on improving the QoE of real-time videos on VANETs. Thus, a multi-layer mechanism based on QoE is proposed, modularly coupled in SRPs to offer parameters related to video on the network. From the proposed solution, the network nodes decide for themselves whether to retransmit the video sequences or not, driving the system. Results show that the gains in the proposed protocol compared to other current SRPs have forced video dissemination with greater support for QoE, less routing overhead and satisfactory achievability. Bestandsnummer des Verkäufers 9786202603881
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Taschenbuch. Zustand: Neu. Real-Time Video Experience Quality Control on VANETs | A Solution for Experience Quality Control in Real-Time Video Transmission on Ad Hoc Vehicle Networks | Carlos Quadros (u. a.) | Taschenbuch | Englisch | 2020 | Our Knowledge Publishing | EAN 9786202603881 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120281636
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