A Monte Carlo method for estimating the extended all-terminal reliability

Shiang Ming Huang*, Quincy Wu, Shi-Chun Tsai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Designing a network with optimal deployment cost and maximum reliability considerations is a hard problem, especially when the all-terminal reliability is required. For efficiently finding out an acceptable solution, Genetic Algorithms (GAs) have been widely applied to solve this problem. In these GAs, the reliability values could be calculated in their objective functions. In year 2002, an extended network reliability model was proposed which considers the connection important level between each pair of nodes. This paper proposes an approximation algorithm based on Monte Carlo simulation for the new network reliability model. This approximation algorithm can be integrated into GAs to solve the optimal cost reliable network design problem under the extended model.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Networking and Services, ICNS 2008
Pages122-127
Number of pages6
DOIs
StatePublished - 25 Aug 2008
Event4th International Conference on Networking and Services, ICNS 2008 - Gosier, Guadeloupe
Duration: 16 Mar 200821 Mar 2008

Publication series

NameProceedings - 4th International Conference on Networking and Services, ICNS 2008

Conference

Conference4th International Conference on Networking and Services, ICNS 2008
CountryGuadeloupe
CityGosier
Period16/03/0821/03/08

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  • Cite this

    Huang, S. M., Wu, Q., & Tsai, S-C. (2008). A Monte Carlo method for estimating the extended all-terminal reliability. In Proceedings - 4th International Conference on Networking and Services, ICNS 2008 (pp. 122-127). [4476546] (Proceedings - 4th International Conference on Networking and Services, ICNS 2008). https://doi.org/10.1109/ICNS.2008.29