MediaPlayer™ versus RealPlayer™: a comparison of network turbulence
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Characteristics of streaming media stored on the Web
ACM Transactions on Internet Technology (TOIT)
Application, network and link layer measurements of streaming video over a wireless campus network
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
Playout buffer and rate optimization for streaming over IEEE 802.11 wireless networks
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A hybrid reservation/contention-based MAC for video streaming over wireless networks
IEEE Journal on Selected Areas in Communications
On latency in IEEE 802.11-based wireless ad-hoc networks
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
User-perceived quality assessment of streaming media using reduced feature sets
ACM Transactions on Internet Technology (TOIT)
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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.