Modelling and analysis of multi-sink wireless sensor networks using queuing theory

Zhenfei Wang, Kun Yang, D. Hunter
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引用次数: 9

Abstract

Multi-sink wireless sensor networks (WSNs) are required by an increasing number of applications due to their advantages such as saving energy and higher reliability. However, little modeling work has taken place for this type of network, particularly with mathematical analysis. Firstly, we show that the input process of the WSN sink node can be modeled as a Poisson process. Then we study the M/G/1/∞ queue model and make an attempt to use it instead of M/G/c/∞ model to analyze the multi-sink WSN. As far as we know, it is the first time it has been shown in this application that the input process is approximately a Poisson Process, and it is the first time that a queuing model has been used to analyze a multi-sink WSN. Simulation results show that it is reasonable to use M/G/1/∞ queue model when the load is not high.
基于排队论的多接收器无线传感器网络建模与分析
多sink无线传感器网络(WSNs)由于具有节能、可靠性高等优点,被越来越多的应用所需要。然而,这种类型的网络的建模工作很少,特别是数学分析。首先,我们证明了WSN汇聚节点的输入过程可以建模为泊松过程。然后,我们研究了M/G/1/∞队列模型,并尝试用它来代替M/G/c/∞模型来分析多sink无线传感器网络。据我们所知,这是第一次在该应用中显示输入过程近似为泊松过程,也是第一次使用排队模型来分析多汇聚WSN。仿真结果表明,在负载不高的情况下,采用M/G/1/∞队列模型是合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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