一种改进的瑞利小波算法无线传感器网络流媒体传输研究  

Research of real-time media streaming transmission strategy based on improved Rayleigh for wireless sensor networks

作　　者：张天伍[1] 冯青[2] 马超阳[2] 

机构地区：[1]河南工程学院计算机科学与工程系,郑州451191 [2]郑州大学电气工程学院,郑州45001

出　　处：《计算机应用研究》2012年第7期2618-2620,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(60974005);河南省教育厅自然科学研究资助项目(2010B510019)

摘　　要：针对无线传感器网络中带宽和能量受限、误码率高、信道不稳定等因素严重影响了实时流媒体传输的问题,采用瑞利小波模型模拟无线传感器网络流媒体通信,并给出概率分布和突发特性的分析模型,基于Kal-man滤波器实时预测网络带宽,自适应地在SCTP与PRSCTP之间进行切换。仿真实验表明,瑞利小波模型能够准确地描述实时流媒体通信流,Kalman滤波器可以准确地预测实时网络带宽,而且基于带宽预测的流媒体传输技术与原有的技术相比在分组成功投递率、端到端时延和吞吐率上均具有良好的性能。In wireless sensor network bandwidth and limited energy,high error rate,channel stability factor serious influence of real-time stream media transmission problem,this paper used Rayleigh wavelet model for the simulation of wireless sensor network streaming media communication and gave the probability distribution and the burst characteristics analysis model,on the basis of Kalman filter based on real-time prediction of network bandwidth,adaptively switched between SCTP and PRSCTP.Simulation results show that,the Rayleigh wavelet model can describe accurately the real-time stream media communication flow,Kalman filter can accurately predict the real-time network bandwidth,and bandwidth prediction based on streaming media transmission technology compared with the prior art in the packet delivery ratio,end-to-end delay and throughput have good performance.

关 键 词：无线传感器网络 瑞利小波 流媒体 卡尔曼滤波器 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]