Title of article :
Node-pair reliability of network systems with small distances between adjacent nodes
Author/Authors :
Malinowski، نويسنده , , Jacek، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Pages :
11
From page :
479
To page :
489
Abstract :
A new method for computing the node-pair reliability of network systems modeled by random graphs with nodes arranged in sequence is presented. It is based on a recursive algorithm using the “sliding window” technique, the window being composed of several consecutive nodes. In a single step, the connectivity probabilities for all nodes included in the window are found. Subsequently, the window is moved one node forward. This process is repeated until, in the last step, the window reaches the terminal node. The connectivity probabilities found at that point are used to compute the node-pair reliability of the network system considered. The algorithm is designed especially for graphs with small distances between adjacent nodes, where the distance between two nodes is defined as the absolute value of the difference between the nodes’ numbers. The maximal distance between any two adjacent nodes is denoted by Γ(G), where G symbolizes a random graph. If Γ ( G ) = 2 then the method can be applied for directed as well as undirected graphs whose nodes and edges are subject to failure. This is important in view of the fact that many algorithms computing network reliability are designed for graphs with failure-prone edges and reliable nodes. If Γ ( G ) = 3 then the methodʹs applicability is limited to undirected graphs with reliable nodes. The main asset of the presented algorithms is their low numerical complexity— O ( n ) , where n denotes the number of nodes.
Keywords :
Random graph , Directed/undirected graph , Sequence ordering , network reliability , Two-terminal reliability , K-terminal reliability , Sliding window technique
Journal title :
Reliability Engineering and System Safety
Serial Year :
2007
Journal title :
Reliability Engineering and System Safety
Record number :
1571719
Link To Document :
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