Improving Mobile Video Streaming with Mobility Prediction and Prefetching in Integrated Cellular-WiFi Networks

Vasilios Siris; Maria Anagnostopoulou; Dimitris Dimopoulos

Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers

Research Article

Improving Mobile Video Streaming with Mobility Prediction and Prefetching in Integrated Cellular-WiFi Networks

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@INPROCEEDINGS{10.1007/978-3-319-11569-6_56,
    author={Vasilios Siris and Maria Anagnostopoulou and Dimitris Dimopoulos},
    title={Improving Mobile Video Streaming with Mobility Prediction and Prefetching in Integrated Cellular-WiFi Networks},
    proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013,  Revised Selected Papers},
    proceedings_a={MOBIQUITOUS},
    year={2014},
    month={12},
    keywords={},
    doi={10.1007/978-3-319-11569-6_56}
}

Vasilios Siris
Maria Anagnostopoulou
Dimitris Dimopoulos
Year: 2014
Improving Mobile Video Streaming with Mobility Prediction and Prefetching in Integrated Cellular-WiFi Networks
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-319-11569-6_56

Vasilios Siris¹^,*, Maria Anagnostopoulou¹, Dimitris Dimopoulos¹

1: Athens University of Economics and Business

*Contact email: vsiris@aueb.gr

Abstract

We present and evaluate a procedure that utilizes mobility and throughput prediction to prefetch video streaming data in integrated cellular and WiFi networks. The effective integration of such heterogeneous wireless technologies will be significant for supporting high performance and energy efficient video streaming in ubiquitous networking environments. Our evaluation is based on trace-driven simulation considering empirical measurements and shows how various system parameters influence the performance, in terms of the number of paused video frames and the energy consumption. The proposed approach has been implemented in an Android-based prototype.

Published: 2014-12-10

: http://dx.doi.org/10.1007/978-3-319-11569-6_56