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Network survivability modeling and analysis for power-aware MANETs by Markov regenerative processes

机译:功率感知型MANET的网络生存能力建模和马尔可夫再生过程分析

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This paper presents the quantitative network survivability analysis for a power-aware mobile ad hoc network (MANET) based on Markov regenerative processes (MRGPs). The MRGP is one of the widest classes of stochastic point process which are mathematically tractable. In the past literature, the model for a power-aware MANET was described by a continuous-time Markov chain (CTMC). However, in the sense of representation ability, CTMC modeling is not sufficient to analyze the relationship between battery state and node behavior in the power-aware MANET. In particular, such problem seriously arises when we treat the transient behavior of the power-aware MANET. In the paper, we revisit a power-aware MANET model by using MRGP, and present both stationary and transient analyses for the MRGP-based model.
机译:本文提出了一种基于马尔可夫再生过程(MRGP)的功率感知型移动自组织网络(MANET)的定量网络生存能力分析。 MRGP是数学上易于处理的最广泛的随机点过程之一。在过去的文献中,通过连续时间马尔可夫链(CTMC)描述了功率感知MANET的模型。但是,从表示能力的角度来看,CTMC建模不足以分析电源感知型MANET中电池状态与节点行为之间的关系。特别是,当我们处理电源感知型MANET的瞬态行为时,会严重出现此类问题。在本文中,我们通过使用MRGP重新审视了具有功耗意识的MANET模型,并对基于MRGP的模型进行了稳态和瞬态分析。

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