Network survivability modeling and analysis for power-aware MANETs by Markov regenerative processes
Network survivability modeling and analysis for power-aware MANETs by Markov regenerative processes
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DOI：
10.1007/s11235-015-9989-5
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发表时间：
2015-03
影响因子：
2.5
通讯作者：
H. Okamura;Zhipeng Yi;T. Dohi
中科院分区：
文献类型：
--
作者：
H. Okamura;Zhipeng Yi;T. Dohi
提出了一种基于马尔可夫再生过程的能量感知移动的自组网（MANET）网络生存性定量分析方法。MRGP是数学上易于处理的一类最广泛的随机点过程。在过去的文献中，一个功率感知的移动自组网模型描述的连续时间马尔可夫链（CTMC）。然而，在这个意义上的表示能力，CTMC建模是不够的，以分析电池状态和节点的行为之间的关系，在功率感知的移动自组网。特别是，这样的问题严重出现时，我们对待的瞬态行为的功率感知的移动自组网。在本文中，我们重新审视了一个功率感知的MANET模型，使用MRGP，并提出了基于MRGP的模型的稳态和瞬态分析。
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.