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Electronics 2014, 3(4), 689-711; doi:10.3390/electronics3040689

A Validated Analytical Model for Availability Prediction of IPTV Services in VANETs

Department of Computer Science, University of Hamburg, Vogt-Kölln-Str. 30, D-22527 Hamburg, Germany
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Received: 30 October 2014 / Revised: 3 December 2014 / Accepted: 11 December 2014 / Published: 19 December 2014
(This article belongs to the Special Issue Connected Vehicles, V2V Communications, and VANET)
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Abstract

In vehicular ad hoc networks (VANETs), besides the original applications typically related to traffic safety, we nowadays can observe an increasing trend toward infotainment applications, such as IPTV services. Quality of experience (QoE), as observed by the end users of IPTV, is highly important to guarantee adequate user acceptance for the service. In IPTV, QoE is mainly determined by the availability of TV channels for the users. This paper presents an efficient and rather generally applicable analytical model that allows one to predict the blocking probability of TV channels, both for channel-switching-induced, as well as for handover-induced blocking events. We present the successful validation of the model by means of simulation, and we introduce a new measure for QoE. Numerous case studies illustrate how the analytical model and our new QoE measure can be applied successfully for the dimensioning of IPTV systems, taking into account the QoE requirements of the IPTV service users in strongly diverse traffic scenarios. View Full-Text
Keywords: IPTV systems; wireless access networks; VANETs; quality of experience (QoE); TV channel availability; TV channel blocking probability; analytical model; case studies IPTV systems; wireless access networks; VANETs; quality of experience (QoE); TV channel availability; TV channel blocking probability; analytical model; case studies
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wolfinger, B.E.; Hübner, A.; Momeni, S. A Validated Analytical Model for Availability Prediction of IPTV Services in VANETs. Electronics 2014, 3, 689-711.

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