Title :
Cross-Layer Optimization and Effective Airtime Estimation for Wireless Video Streaming
Author :
Alsmirat, Mohammad A. ; Sarhan, Nabil J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
fDate :
July 30 2012-Aug. 2 2012
Abstract :
This paper develops a cross-layer optimization framework for video streaming from multiple sources to a central proxy station over a wireless network. The proposed framework manages the application rates and transmission opportunities of various video sources based on the dynamic network conditions in such a way that minimizes the overall distortion. The framework utilizes a novel online approach for estimating the effective airtime of the network. We demonstrate the effectiveness of the proposed framework and effective airtime estimation approach through extensive experiments.
Keywords :
radio networks; video streaming; airtime estimation approach; central proxy station; cross-layer optimization; cross-layer optimization framework; dynamic network conditions; effective airtime estimation; multiple sources; transmission opportunities; wireless network; wireless video streaming; Atmospheric modeling; Data models; Estimation; Heuristic algorithms; Optimization; Streaming media; Wireless networks;
Conference_Titel :
Computer Communications and Networks (ICCCN), 2012 21st International Conference on
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1543-2
DOI :
10.1109/ICCCN.2012.6289275