Java quality-differentiated video multicast in multirate wireless networks
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This document discusses a quality-differentiated video multicast scheme for multirate wireless networks. It proposes a rate scheduling model that selects the optimal transmission bitrate for each video frame to maximize total visual quality while guaranteeing a minimum quality. It also presents QDM, a practical protocol that constructs cluster-based structures to characterize heterogeneity and adapts the transmission bitrate based on video quality perceived by cluster heads. Experimental results show QDM can efficiently adapt to network dynamics and variable bitrates, producing a gain of 2-5 dB in average video quality compared to leader-based approaches.
Java quality-differentiated video multicast in multirate wireless networks
- 1. QUALITY-DIFFERENTIATED VIDEO MULTICAST IN MULTIRATE WIRELESS NETWORKS ABSTRACT: Adaptation of modulation and transmission bit-rates for video multicast in a multirate wireless network is a challenging problem because of network dynamics, variable video bit-rates, and heterogeneous clients who may expect differentiated video qualities. Prior work on the leader- based schemes selects the transmission bit-rate that provides reliable transmission for the node that experiences the worst channel condition. However, this may penalize other nodes that can achieve a higher throughput by receiving at a higher rate. In this work, we investigate a rate-adaptive video multicast scheme that can provide heterogeneous clients differentiated visual qualities matching their channel conditions. We first propose a rate scheduling model that selects the optimal transmission bitrate for each video frame to maximize the total visual quality for a multicast group subject to the m inimum-visual- quality-guaranteed constraint. We present a practical and easy-to-implement protocol, called QDM, which constructs a cluster- based structure to characterize node heterogeneity and adapts the transmission bit-rate to network dynamics based on video quality perceived by the representative cluster heads. Since QDM selects the rate by a sample-based technique, it is suitable for real-time streaming even without any preprocess. We show that QDM can adapt to network dynamics and variable video-bit rates efficiently, and produce a gain of 2-5 dB in terms of the average video quality as compared to the leader-based approach. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111 VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com