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TCP based-user control for adaptive video streaming

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Abstract

Nowadays, Media streaming services over TCP have become very popular because of the TCP’s reliability, which provides remarkable stability to the Internet. However, in order to offer a high media quality and a good user satisfaction, the media streaming service requires that transport protocols can be adapted continuously with the network parameters. However, the diversity, of terminals (i.e., tablet, smart phones, laptop … etc.) and their corresponding capabilities, means that users’ agnostic solutions are inefficient to cope with such diverse contexts. Indeed, the intrinsic characteristics and parameters of the terminal users (i.e., devices) need to be taken into account on the video streaming adaptation process. The classic adaptive video streaming services do not consider the user parameters on the adaptation process. In this paper, we propose an adaptive video streaming solution to improve the user satisfaction factor by adapting the TCP parameters according to the user’s parameters on mobile networks. The user satisfaction factor is calculated according to some metrics driven from the user’s quality of experience (QoE). The work is validated through our proposal based on a new mobile agent (which does all the work) developed on a Linux script platform and tested on different kinds of devices with different scenarios.

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Authors and Affiliations

  1. LRIIR laboratory, Computer Science Department, University of Oran 1 Ahmed Ben Bella, Es-Sania Oran, Algeria

    Yassine Douga & Malika Bourenane

  2. LISSI Laboratory & Department of Networks and Telecoms, IUT CV, University of Paris-Est (UPEC), Créteil, France

    Abdelhamid Mellouk

  3. IRISA Laboratory, INRIA Dionysos team-project, University of Rennes, Rennes, France

    Yassine Hadjadj-Aoul

Authors
  1. Yassine Douga
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  2. Malika Bourenane
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  3. Abdelhamid Mellouk
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  4. Yassine Hadjadj-Aoul
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Correspondence to Yassine Douga.

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Douga, Y., Bourenane, M., Mellouk, A. et al. TCP based-user control for adaptive video streaming. Multimed Tools Appl 75, 11347–11366 (2016). https://doi.org/10.1007/s11042-015-2857-1

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  • DOI: https://doi.org/10.1007/s11042-015-2857-1

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