DocumentCode
1890018
Title
Communications network reliability analysis approximations and bounds
Author
Murray, Keitha ; Kershenbaum, Aaron ; Shooman, Martin L.
Author_Institution
Dept. of Comput. & Inf. Sci., Iona Coll., New Rochelle, NY, USA
fYear
1993
fDate
26-28 Jan 1993
Firstpage
268
Lastpage
275
Abstract
The authors present a number of techniques based on tie-sets and cut-sets for bounding and approximating the 2-terminal reliability of a communications network model, with the knowledge that the 2-terminal reliability problem is NP-complete. Three classes of approximations are treated theoretically and in terms of examples. One method uses all the network cut-sets, but truncates the reliability expansion, leading to upper and lower bounds. Another method chooses subsets of the tie-sets and cut-sets, including the shorter (fewer element) tie-sets and cut-sets, and carries out the entire expansion. The third approximation technique incorporates features of both of the first two methods. The reduced tie-set and cut-set method, although exponential in the number of tie-sets and cut-sets of the network in theory, is polynomial in practice and provides lower and upper bounds of the same order of magnitude in most instances. The combined method has been shown to be polynomial in the number of 1, 2, and 3-edge cut-sets used and to run faster than the reduced tie-set and cut-set method
Keywords
computational complexity; polynomials; reliability; state-space methods; telecommunication networks; 2-terminal reliability; approximations; bounds; communications network model; cut-sets; reliability expansion; tie-sets; Communication networks; Computer network reliability; Computer networks; Copper; Educational institutions; Graph theory; Optical fibers; Reliability theory; Telecommunication network reliability; Wire;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 1993. Proceedings., Annual
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-0943-X
Type
conf
DOI
10.1109/RAMS.1993.296844
Filename
296844
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