Weather Forecasting - Predicting Performance for Streaming Video over Wireless LANs

Weather Forecasting - Predicting Performance for Streaming Video over Wireless LANs


Mingzhe Li, Feng Li, Mark Claypool and Robert Kinicki

In Proceedings of the 15th ACM International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV)
Stevenson, Washington, USA
June 2005


The growth of wireless LANs has brought the expectation for high-bitrate streaming video to wireless PCs. However, it remains unclear how wireless channel characteristics impact the quality of streaming video sent over wireless LANs. This paper presents results from experiments that stream commercial video over a wireless campus network. By analyzing the streaming video quality and capturing wireless LAN characteristics across network and wireless link layers, "weather forecasts" are created such that selected wireless LAN performance indicators might be used to predict the streaming video quality. Furthermore, a quantified measurement of accuracy is presented to evaluate the effectiveness of individual weather forecasts. The paper evaluates six distinct weather forecasts four different streaming configurations including TCP and UDP streaming, and single and multiple-level encoded videos. The results show that the wireless Received Signal Strength Indicator (RSSI) and average wireless link capacity are the most accurate indicators to predict the performance of streaming video over wireless LANs. The weather forecast philosophy can be beneficial for adapting video streaming in wireless LAN environments.


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This material is based upon work supported by the National Science Foundation under Grant Number CNS-0423362. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).