Intelligent Video Traffic Smooth Mechanism for Multimedia Communication

作     者：GE Ling, WU Xin-yu (Department of Electronic Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, P.R.China) 

作者机构：Department of Electronic Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 P.R.China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2000年第7卷第1期

页      面：36-40,45页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

主　　题：ATM QoS BPNN FNN 

摘      要：A principal challenge in supporting real-time video services over ATM is the need to provide synchronous play-out in the face of stochastic end-to-end network delays. In this paper, an intelligent traffic smooth mechanism ( ITSM ) is proposed to meet the continuity requirement which is composed of a back-propagation neural network ( BPNN ) traffic predictor, a play-out buffer, and a fuzzy neural network ( FNN ) based play-out rate determinator. The BPNN traffic predictor online predicts the mean packet rate of the traffic in the future interval ( FI ) and the FNN is designed to adaptively determinate the play-out time according to the number of packets in the buffer and the traffic character predicted. Simulation results show that compared to the window mechanism, ITSM achieves high continuity with accepted delay. Furthermore, ITSM can be adaptively modified to meet the QoS of different kinds of services by FNN parameter training.