基于分形理论的物联网分层业务模型与性能分析  

A Fractal Theory Based Layered Traffic Model Used in Internet of Things

作　　者：吴启武[1] 

机构地区：[1]武警工程大学通信工程系,西安710086

出　　处：《北京邮电大学学报》2012年第4期38-41,50,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(61003250);武警工程大学基础研究基金项目(WJY201112)

摘　　要：针对传统业务模型不再适合描述物联网业务流量特征的问题,将基于射频识别(RFID)的物联网系统作为研究对象,针对其构架模式和业务特点,利用服从帕累托(Pareto)重尾分布的Multiple ON-OFF业务模型,建立了一种集中式的物联网自相似分层业务流量模型,并通过自相似特性的测量验证了该模型的有效性.仿真结果表明,该模型是有效的,且这种自相似特性增大了网络丢包率和排队时延,降低了系统吞吐量.Considering the Internet of things based on radio frequency identification （RFID） as the study object and using the multiple ON-OFF traffics model （obeys heavy tail distribution of Pareto） , a central- ized self-similar layered traffic model of Internet of things is proposed in view of its structure and traffic characteristics. The validity of the model is verified through the measurement of self-similarity parameter. Simulation proves that the model is effective. Moreover, the self-similarity increases network packet loss rate and queuing delay, and reduces the system throughput.

关 键 词：物联网 无线射频识别 分层业务模型 自相似 HURST参数 

分 类 号：TN915[电子电信—通信与信息系统]