An adaptive Multimedia Streaming Mechanism Using the Kalman Filter over the Heterogeneous Networks

• Main Authors: Xin-Ying Lin, 林欣螢
• Other Authors: Chung-Ming Huang
• Format: Others
• Language: en_US
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/59153296108964397148

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 95 === In order to adapt the quality of a video stream over a time-varying bandwidth channel, network-aware bandwidth management and rate control scheme are required. This thesis proposes a well-designed bandwidth estimation and active buffer control scheme for streaming FGS videos over heterogeneous wired/wireless/3G networks. According to the measured information of packet round-trip-time, loss-rate and delay jitter, an improved Kalman filter is proposed to predict an available bandwidth recursively, and determine a proper transmission rate in consideration of buffer fullness of a decoder. The optimal parameters of the Kalman filter, e.g., a transition matrix and an error covariance, can be initialized, converged and adapted to characteristics of the current network. In our experiments, distinct network traffic models are simulated in comparison with pathChirp, and corresponding estimation results w.r.t. network information are also exhibited in the real network.