石雪妮, 达高峰. 具有随机依赖机制的无线传感器网络可靠性建模与计算[J]. 应用概率统计, 2023, 39(5): 747-764. DOI: 10.3969/j.issn.1001-4268.2023.05.009
引用本文: 石雪妮, 达高峰. 具有随机依赖机制的无线传感器网络可靠性建模与计算[J]. 应用概率统计, 2023, 39(5): 747-764. DOI: 10.3969/j.issn.1001-4268.2023.05.009
SHI Xueni, DA Gaofeng. The Reliability of Wireless Sensor Networks with Random Dependence: Modelling and Calculation[J]. Chinese Journal of Applied Probability and Statistics, 2023, 39(5): 747-764. DOI: 10.3969/j.issn.1001-4268.2023.05.009
Citation: SHI Xueni, DA Gaofeng. The Reliability of Wireless Sensor Networks with Random Dependence: Modelling and Calculation[J]. Chinese Journal of Applied Probability and Statistics, 2023, 39(5): 747-764. DOI: 10.3969/j.issn.1001-4268.2023.05.009

具有随机依赖机制的无线传感器网络可靠性建模与计算

The Reliability of Wireless Sensor Networks with Random Dependence: Modelling and Calculation

  • 摘要: 概率组合方法是分析无线传感器网络(wireless sensor network, WSN)可靠性的重要方法,它能够有效处理该网络中的隔离效应和竞争失效问题. 然而,已有文献中基于概率组合方法的WSN可靠性建模和计算存在一些缺陷,导致研究结果应用范围受限甚至错误地评估WSN的可靠性.本文研究了一类典型的WSN-----具有随机依赖机制的单中继器WSN的可靠性建模与计算. 在组件局部失效和外部攻击导致全局失效的竞争失效机制下,建立了WSN更符合实际亦更严谨的可靠性模型, 基于严格的概率组合分析,呈现了系统化的可靠性计算方法和计算公式, 改进了文献中关于此类问题的研究.最后, 作为算法应用展示,我们计算了两个特殊的WSN-----身体传感网络和空气监测系统的可靠性.

     

    Abstract: The probabilistic combination method is a very useful method to analyze the reliability of wireless sensor network (WSN), and it can effectively deal with the isolation effect and competition failure in the network. However, there are some shortcomings in the reliability modeling and calculation of WSN based on the probabilistic combination method in the existing literature, which leads to a limited application of the research results and even an incorrect evaluation for the reliability of WSN. This paper studies the reliability modeling and calculation of a typical WSN which has only one relay node and the probabilistic functional dependence mechanism. Under the general assumption that WSN faces local failures of components and global failures caused by external attacks, a reliability model that is more realistic and more rigorous is established for WSN. Based on rigorous probability combination analysis, it shows systematic method and compact formulas for the reliability of WSN. The current study enhances the research on such issues in the literature efficiently. Finally, as applications, we calculate the reliability of two special WSNs ---body sensor network and air monitoring system.

     

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