南京邮电大学学报（自然科学版）2018，Vol.38Issue(2)：22-28,7.DOI:10.14132/j.cnki.1673-5439.2018.02.004
基于随机网络演算的物联网业务流量建模与分析方法
Stochastic network calculus approach for traffic modeling and analysis in Internet of Things
摘要
Abstract
The Internet of Things (IoT) exhibits considerably different traffic patterns than human-type communication.Thus,it is necessary to study new traffic models and analyze the network performances in this context.Firstly,the transmission of machine-to-machine (M2M) traffic is abstracted through the backhaul network as a model of tandem nodes.Secondly,coupled Markov modulated Poisson process (CMMPP) is used to model M2M traffic,reflecting the spatial and temporal correlation of M2M traffic in IoT.Then,the arrival curve of CMMPP is derived and the service curve of the transmission network is analyzed by using stochastic network calculus.On this basis,the end-to-end delay bound of M2M traffic is deduced.Finally,numerical analyses verify the accuracy of the results.关键词
物联网/随机网络演算/CMMPP/端到端时延边界Key words
Internet of Things (IoT)/stochastic network calculus/coupled Markov modulated Poisson process (CMMPP)/end-to-end delay bound分类
信息技术与安全科学引用本文复制引用
吴璇,朱晓荣..基于随机网络演算的物联网业务流量建模与分析方法[J].南京邮电大学学报（自然科学版）,2018,38(2):22-28,7.基金项目
国家科技重大专项(2017ZX03001008)、国家自然科学基金(61372125)和江苏省高校自然科学研究(16KJA510005)资助项目 （2017ZX03001008）
