Performance Analysis on M2M Communication Network Based on Stochastic Network Calculus

Abstract

M2M (Machine-to-Machine) communication networks have received more attention in recent years. Performance analysis is helpful for the design and evaluation of network deployment. In this paper, we mainly focus on performance analysis on M2M communication networks. We develop a performance analysis framework for M2M communication networks based on stochastic network calculus. We use Poisson process model to describe arrival process, and derive stochastic arrival curve and stochastic service curve. Then we provide some performance bounds for output, backlog and delay in M2M communication networks. The output characterization of a network node on M2M communication networks is characterized by stochastic arrival curve and stochastic service curve's deconvolution in a time interval, but backlog bound is characterized by stochastic arrival curve and stochastic service curve's deconvolution at a time. Delay bound will become much bigger with the increasing of the arrival traffic. For M2M communication networks with different sizes, the delay bound of the whole network is relatively low. On the other hand, network node has a small amount of delay at the beginning of traffic arrival, as parts of arrival traffic served delay will become gradually zero.