Combinatorial approaches to Monte Carlo estimation of network lifetime distribution: Research Articles

Authors:
I. Gertsbakh;Y. Shpungin
Affiliations:
Ben Gurion University of the Negev, P.O. Box 653, Beersheva, Israel;Negev Academic College of Engineering, Beersheva 84100, Israel
Venue:
Applied Stochastic Models in Business and Industry - Reliability
Year:
2004

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Abstract

The purpose of this paper is estimating the lifetime distribution for two types of dynamic networks. The first one is a network, with edges existing in time, which may be erased independently of each other. The second one is a network with renewable edges. We consider effective Monte Carlo methods based on combinatorial approaches which were suggested earlier for estimating parameters of static networks. Copyright © 2004 John Wiley & Sons, Ltd.