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OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm Read chapter Read first chapter

2014 | OriginalPaper | Chapter

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

Authors : Vasilios A. Siris, Maria Anagnostopoulou, Dimitris Dimopoulos

Published in: Mobile and Ubiquitous Systems: Computing, Networking, and Services

Publisher: Springer International Publishing

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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.

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Footnotes
1
Source: Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012-2017, Feb. 6, 2013.
 
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Metadata
Title
Improving Mobile Video Streaming with Mobility Prediction and Prefetching in Integrated Cellular-WiFi Networks
Authors
Vasilios A. Siris
Maria Anagnostopoulou
Dimitris Dimopoulos
Copyright Year
2014
Book
Mobile and Ubiquitous Systems: Computing, Networking, and Services

Print ISBN: 978-3-319-11568-9

Electronic ISBN: 978-3-319-11569-6

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-11569-6_56

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