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Survivability Analysis for a Wireless Ad Hoc Network Based on Semi-Markov Model

机译:基于半马尔可夫模型的无线自组织网络的生存能力分析

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摘要

Network survivability is defined as the ability of a network keeping connected under failures and/or attacks. In this paper, we propose two stochastic models; binomial model and negative binomial model, to quantify the network survivability and compare them with the existing Poisson model. We give mathematical formulae of approximate network survivability for respective models and use them to carry out the sensitivity analysis on model parameters. Throughout numerical examples it is shown that the network survivability can change drastically when the number of network nodes is relatively small under a severe attack mode which is called the Black hole attack.
机译:网络生存能力定义为网络在故障和/或攻击下保持连接的能力。在本文中,我们提出了两种随机模型。二项式模型和负二项式模型,以量化网络生存能力并将其与现有的泊松模型进行比较。我们给出了各个模型的近似网络生存能力的数学公式,并使用它们来对模型参数进行敏感性分析。整个数值示例表明,在称为黑洞攻击的严重攻击模式下,当网络节点的数量相对较少时,网络生存能力会发生巨大变化。

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