基于流量特征的数字媒体网络视频通信流量预测系统  

Traffic prediction system of video communication in digital media network based on traffic characteristics

作　　者：韦华 WEI Hua(Xi9 an Aeronautical Polytechnic Institute,Yanliang Shanxi 710089,China)

机构地区：[1]西安航空职业技术学院,陕西阎良710089

出　　处：《自动化与仪器仪表》2021年第4期108-111,共4页Automation & Instrumentation

基　　金：陕西省教育厅人文社科研究计划项目“基于数字动漫产业的汉唐民俗文化元素研究”(No.11JK0367)阶段性研究成果;西安市社科基金项目:以动漫IP为载体的“一带一路”文化传播和民心相通研究(No.ZX145)。

摘　　要：为了提高数字媒体网络视频通信流量预测能力,提出基于流量特征的数字媒体网络视频通信流量预测系统。构建分布式传感信息采集和多维空间存储结构模型,采用多源信息融合和特征重组方法实现时间序列重构,采用相空间重构和特征压缩方法,建立特征聚类模型,提取重建响应特征量,通过流量传输信道均衡控制方法,实现对数字媒体网络视频通信流量的实时预测。采用无线ZigBee组网控制协议,实现数字媒体网络视频通信流量预测的嵌入式程序开发设计,通过流量特征融合分析,实现通信流量的传输预测。仿真结果表明,采用该方法进行数字媒体网络视频通信流量预测的精度较高,系统传输可靠性较好。In order to improve the prediction ability of video communication traffic in digital media network,a traffic prediction system based on traffic characteristics is proposed.The distributed sensor information collection and multi-dimensional spatial storage structure model is constructed.The multi-source information fusion and feature reorganization methods are used to realize the time series reconstruction.The phase space reconstruction and feature compression methods are used to establish the feature clustering model and extract the reconstruction response characteristic quantity.The real-time prediction of the video communication flow of digital media network is realized through the traffic transmission channel equalization control method.Zige is used to predict the flow of wireless media network and realize the prediction of network traffic by Zige.The simulation results show that the accuracy of this method is high and the system transmission reliability is good.

关 键 词：流量特征 数字媒体网络 视频通信 流量 预测 特征聚类 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]