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Computing the SKT Reliability of Acyclic Directed Networks Using Factoring Method

机译:用分解法计算无环有向网络的SKT可靠性

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This paper presents a factoring algorithm for computing source-to-- K terminal (SKT) reliability, the probability that a source s can send message to a specified set of terminals K, in acyclic directed networks (AD-networks) in which both nodes and edges can fail. Based on Pivotal decomposition theorem, a new formula is derived for computing the SKT reliability of AD-networks. By establishing a topological property of AD-networks, it is shown that the SKT reliability of AD- networks can be computed by recursively applying this formula. Two new Reliability- Preserving Reductions are also introduced. The recursion tree generated by the presented algorithm has at most 2~(|v|-|K|-|c|) leaf nodes, where |V| and |IK| are the numbers of nodes and terminals, respectively, while |C| is the number of the nodes satisfying some specified conditions. The computation complexity of the new algorithm is O(|E|.|lV|. 2~(|v|-|k|-|c|)) in the worst case, where |E| is the number of edges. For source-to-all-terminal (SAT) reliability, its computation complexity is O(|E|). Comparison of the new algorithm with the existing ones indicates that the new algorithm is more efficient for computing the SKT reliability of AD-networks.
机译:本文提出了一种分解算法,用于计算源到K终端(SKT)的可靠性,即在两个节点的非循环定向网络(AD-network)中,源s可以将消息发送到指定的一组终端K的概率边缘可能会失效。基于枢轴分解定理,推导了计算AD网络SKT可靠性的新公式。通过建立AD网络的拓扑特性,表明可以通过递归应用该公式来计算AD网络的SKT可靠性。还引入了两个新的“可靠性降低”。该算法生成的递归树最多具有2〜(| v |-| K |-| c |)个叶节点,其中| V |和| IK | | C |分别是节点和终端的数目是满足某些指定条件的节点数。在最坏的情况下,新算法的计算复杂度为O(| E |。| lV |。2〜(| v |-| k |-| c |)),其中| E |是边数。对于信源到所有终端(SAT)的可靠性,其计算复杂度为O(| E |)。新算法与现有算法的比较表明,新算法在计算AD网络的SKT可靠性方面更为有效。

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