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Statistical analysis technique on Ad Hoc network topology dynamic characteristics: Markov stochastic process

机译:Ad Hoc网络拓扑动态特性的统计分析技术:马尔可夫随机过程

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摘要

On the basis of analysis on the scene files of mobility models in Ad Hoc network, the paper presents a network topology snapshots capturing method to obtain the Ad Hoc network topology architecture at any moment. Through analyzing on the Ad Hoc network topology snapshots, some dynamic characteristic parameters of Ad Hoc network, such as the number of network topology in steady state or unsteady state appearing during a certain time, as well as the durative time of network topology in steady state or unsteady state, could be obtained statistically. Furthermore, the probability of the network topology invariability and variability event could be predicated by adopting the discrete time and continuous time Markov stochastic process theory. The simulation result shows that the statistical analysis technique on Ad Hoc network topology dynamic characteristic not only is effective, but also has the general attribute, which could be used in the statistical analysis technique on Ad Hoc network topology dynamic characteristic under any mobility models.
机译:在对Ad Hoc网络中移动模型的场景文件进行分析的基础上,提出了一种随时获取Ad Hoc网络拓扑结构的网络拓扑快照捕获方法。通过对Ad Hoc网络拓扑快照的分析,得出Ad Hoc网络的一些动态特征参数,例如一定时间内出现的稳态或非稳态网络拓扑数量,以及稳态下网络拓扑的持续时间。或不稳定状态,可以通过统计获得。此外,采用离散时间和连续时间马尔可夫随机过程理论可以预测网络拓扑不变性和可变性事件的概率。仿真结果表明,Ad Hoc网络拓扑动态特性统计分析技术不仅有效,而且具有通用性,可用于任何移动性模型下的Ad Hoc网络拓扑动态特性统计分析技术。

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