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Markov-modulated stochastic recursive equations with applications to delay-tolerant networks

机译:马尔可夫调制随机递推方程在时延容忍网络中的应用

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摘要

We investigate a class of Markov-modulated stochastic recursive equations. This class includes multi-type branching processes with immigration as well as linear stochastic equations. Conditions are established for the existence of a stationary solution and expressions for the first two moments of this solution are found. Furthermore, the transient characteristics of the stochastic recursion are investigated: we obtain the first two moments of the transient solution as well. Finally, to illustrate our approach, the results are applied to the performance evaluation of packet forwarding in delay-tolerant mobile ad-hoc networks.
机译:我们研究了一类马尔可夫调制的随机递归方程。此类包括带有移民的多类型分支过程以及线性随机方程。建立了存在固定解的条件,并找到了该解的前两个时刻的表达式。此外,还研究了随机递归的瞬态特征:我们也获得了瞬态解的前两个时刻。最后,为了说明我们的方法,将结果应用于延迟容忍的移动自组织网络中数据包转发的性能评估。

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