Reliability Evaluation of Imperfect K-Terminal Stochastic Networks using Polygon-to Chain and Series-parallel Reductions

M. Rebaiaia, D. Aït-Kadi
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引用次数: 8

Abstract

In this paper, we propose a mathematical model for determining the exact value of the reliability of Mobile Ad hoc (MANET) and Wireless Sensor (WSN) Networks which are considered in this research as a collection of Imperfect Stochastic Networks (ISN). The performance in term of reliability is a fundamental challenge in ISN. In the literature several techniques have been used for determining the reliability and few of them are able to produce exact values. The aim of this work introduces a general framework that extends and combines two major models proposed by Satyanarana and Wood, and Carlier and Theologou. These models are based on the reduction using the factoring theorem. The operations of reduction are called Polygon-to Chain and series-parallel decompositions. The algorithm is also very effective for imperfect networks whose nodes and links could fail.
基于多边形到链和串并联约简的不完全k端随机网络可靠性评估
在本文中,我们提出了一个确定移动自组网(MANET)和无线传感器网络(WSN)可靠性精确值的数学模型,这两种网络在本研究中被认为是不完全随机网络(ISN)的集合。在可靠性方面的性能是ISN的一个基本挑战。在文献中,已经使用了几种技术来确定可靠性,但很少有技术能够产生精确的值。这项工作的目的是介绍一个一般框架,扩展并结合了Satyanarana和Wood以及Carlier和Theologou提出的两个主要模型。这些模型是基于因式定理的约简。约简的操作称为多边形到链分解和串并联分解。对于节点和链路可能失效的不完美网络,该算法也非常有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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