DocumentCode
854344
Title
OBDD-based evaluation of k-terminal network reliability
Author
Yeh, Fu-Min ; Lu, Shyue-Kung ; Kuo, Sy-Yen
Author_Institution
Electron. Syst. Res. Div., Chung-Shan Inst. of Sci. & Technol., Taoyuan, Taiwan
Volume
51
Issue
4
fYear
2002
fDate
12/1/2002 12:00:00 AM
Firstpage
443
Lastpage
451
Abstract
An efficient approach to determining the reliability of an undirected k-terminal network based on 2-terminal reliability functions is presented. First, a feasible set of (k-1) terminal-pairs is chosen, and the 2-terminal reliability functions of the (k-1) terminal-pairs are generated based on the edge expansion diagram using an OBDD (ordered binary decision diagram). Then the k-terminal reliability function can be efficiently constructed by combining these (k-1) reliability expressions with the Boolean and operation. Because building 2-terminal reliability functions and reducing redundant computations by merging reliability functions can be done very efficiently, the proposed approaches are much faster than those which directly expand the entire network or directly factor the k-terminal networks. The effectiveness of this approach is demonstrated by performing experiments on several large benchmark networks. An example of appreciable improvement is that the evaluation of the reliability of a source-terminal 3×10 all-terminal network took only 2.4 seconds on a SPARC 20 workstation. This is much faster than previous factoring-algorithms.
Keywords
Boolean functions; binary decision diagrams; reliability theory; (k-1) terminal-pairs generation; 2-terminal reliability functions; Boolean and operation; edge expansion diagram; ordered binary decision diagram; redundant computations reduction; source-terminal 3×10 all-terminal network; terminal-pair reliability; undirected k-terminal network reliability; Boolean functions; Buildings; Computer networks; Data structures; Merging; NP-hard problem; Partitioning algorithms; Workstations;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.2002.804736
Filename
1044342
Link To Document