A Stochastic Network Calculus Approach For Traffic Modeling And Performance Analysis In The Internet Of Things

In the field of mobile Internet,emerging technologies are various.Due to the interconnection of all things in this new era,it is easier for anyone or anything to exchange information and services between them.However,the emergence of large-scale machines poses a challenge to the network's admission control.At the same time,the M2 M traffic shows the distinct characteristics,which is totally different from traditional human to human traffic.So,how to model M2 M traffic and analyze its transmission performance has become an urgent problem to be solved.As a powerful tool for analyzing network performance,network calculus has the obvious advantages in modeling diverse traffic flows and analyzing the common performance bounds of the network.Therefore,to solve above problems,this paper mainly studies the following three aspects based on the introduction of network calculus theory:(1)An admission control model based on multiple priority of various requests.The scheduling model considers cellular user requests and various M2 M requests,and then four types of access requests are categorized according to priorities.The analysis not only includes the non-preemptive scheduling of M2 M requests,but also includes the preemptive scheduling of cellular user requests to M2 M requests,which makes the analysis more in line with the actual network.Finally,the delay and backlog bound performance of various requests are given,and the arrival characteristics of different requests along with the impact of the service capabilities of the base station on the network performance are also shown.(2)A method of modeling and analyzing IoT traffic based on stochastic network calculus is proposed.In order to reflect the spatial and temporal correlation of M2 M traffic flow,the coupled Markov Modulated Poisson Process is used to model the M2 M traffic and its arrival curve is derived by using the moment generating function.At the same time,the transmission of M2 M traffic through the backhaul network is abstracted as a model of tandem nodes,and the corresponding service curve is given.Finally,considering of arrival and service curve,the transmission performance of CMMPP in the network is obtained.Numerical analyses are conducted to verify the accuracy of the results in the end.(3)Based on the network simulation platform OPNET,the M2 M traffic simulation and analysis are realized.Differing from the former two research points where the mathematical analysis is used to solve the transmission performance of M2 M flow,the simulation software OPNET is used to build a multi-class M2 M service transmission system in the Internet of Things here.Because OPNET can simulate the real network scene to the maximum extent,this paper respectively simulates the admission control of cellular base station handling the connection requests of cellular users and M2 M terminals,and the overall transmission performance of M2 M traffic flow through multiple network elements.