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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- 1.
Source: Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012-2017, Feb. 6, 2013.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Siris, V.A., Anagnostopoulou, M., Dimopoulos, D. (2014). Improving Mobile Video Streaming with Mobility Prediction and Prefetching in Integrated Cellular-WiFi Networks. In: Stojmenovic, I., Cheng, Z., Guo, S. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-11569-6_56
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