![]() ![]() claimed that in order to reduce the probing traffic’s influence on the normal service traffic, Iperf in the lightweight mode and nondestructive TCP flow can be used to estimate the available bandwidth of the hybrid home networks Louvel et al. In order to offer streaming media service with guaranteed QoS in the environments of heterogeneous network, network state should be first obtained. It is apparently unreasonable to provide all terminals with same service level, because the terminals have different environment (bandwidth, resolution, arithmetic capability, and memory). In addition, as user terminals become popular and diversified, the home wireless networks (HWN) develop toward the direction of heterogeneousness and complicatedness, bringing a big challenge to the traditional streaming media service. The streaming media requires high bandwidth, low delay, and low jitter on its transmission route however, the Internet is best-effort network which the terminals compete for its bandwidth that result in congestions, delay, jitter, packet loss, and then consequently damaging user experience. Introductionĭue to the rapid development of network technology and the popularization of various kinds of user terminals (e.g., table PC, smartphones, and laptops), streaming media service has been significantly increased among the home entertainment services. ![]() Experimental results show that CAASS can dynamically adjust the service level according to the environment variation (e.g., network state and terminal performances) and outperforms the existing streaming approaches in adaptive streaming media distribution according to peak signal-to-noise ratio (PSNR). We evaluate the performance of the proposed CAASS through 12 types of experimental environments using a prototype system. We formulate the optimization problem of QoS relationship with the environment parameters based on the QoS testing algorithm for IPTV in ITU-T G.1070. This approach is able to improve the video quality for guarantying streaming QoS. In this paper, we propose a context-aware adaptive streaming media distribution system (CAASS), which implements the context-aware module to perceive the environment parameters and use the strategy analysis (SA) module to deduce the most suitable service level. Thus, the streaming media distribution in a heterogeneous network becomes a severe challenge which is critical for QoS guarantee. In wireless network, the multiple user terminals can cause bandwidth competition. ![]() In wired network, the transmission performance is limited by network state (e.g., the bandwidth variation, jitter, and packet loss). We consider the problem of streaming media transmission in a heterogeneous network from a multisource server to home multiple terminals. ![]()
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