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针对工业无线传感器网络可靠性难以准确、全面、系统的评估问题,提出了随时间演进的状态转移蒙特卡罗评估方法和网络功能值表示方法,用于评估无线传感器网络可靠性.首先运用邻接矩阵的方法表征WSNs的网状网络、树形网络和带状网络3种典型拓扑结构;然后运用网络功能值表示方法评估网络连通度;运用随时间演进的状态转移蒙特卡罗评估方法评估网络可靠度和可用度,最后给出了3种拓扑结构网络的可靠性、连通度和可用度的变化趋势.仿真结果表明,所提方法可快速对WSNs典型拓扑结构的网络可靠性进行准确的分析,为全面、准确地评估无线传感器网络可靠性提供了有效的手段.
Aiming at the difficulty of accurate, comprehensive and systematic evaluation of the reliability of industrial wireless sensor networks, a state transition Monte Carlo evaluation method and a network functional value representation method evolving over time are proposed for evaluating the reliability of wireless sensor networks. Firstly, the adjacency matrix Method to characterize three typical topologies of mesh networks, tree networks and ribbon networks of WSNs. Then, network connectivity is evaluated by network functional value representations. State transition Monte Carlo assessment is used to evaluate the network reliability Finally, the trend of reliability, connectivity and availability of the three topological networks is given.The simulation results show that the proposed method can quickly and accurately analyze the network reliability of the typical topological structure of WSNs, Comprehensive and accurate assessment of the reliability of wireless sensor networks provides an effective means.