Abstract
In recently years the development in the field of network technology grows rapidly especially for the Internet applications, thus, a variety of multimedia services currently block up the IP networks. Due to the limitation of available network bandwidth and unpredictable transmission delay, services of streaming video/audio on such unstable environment often seriously affect the quality of services. However, if we can get the network traffic information as much as possible then we will be able to adjust the delivering parameters, such as packet rate, which will benefit the succeeding service quality. In the aspect of the network traffic information collection, loss rate is often used as the indicator in the literatures. In our experience, it is not adequate that utilizes the factor of loss rate as the representation of network traffic characteristic only. In this study, we use both the delay and jitter of packets obtaining from suitable RTCP packets. Besides, to react the change of the network condition rapidly we employ a neural network computation to predict and analyze the possible delay the ongoing packet will bring. Then, we will be able to adjust the delivering parameters accordingly.In addition to the short-term dynamic adjustment, we represent the actual network traffic condition as five levels, whether to deliver the information or not will be decided under the concern of current level. If it is not stable, the rate of information transfer will be reduced immediately by plummeting some miner information. Finally, we adopt double-sending strategy to avoid consecutively dropping packet that will let the quality become poor.