Publication | Closed Access
The diagnosability of the matching composition network under the comparison diagnosis model
94
Citations
20
References
2004
Year
EngineeringDiagnosisNetwork RobustnessNetwork AnalysisEducationComputational ComplexitySystem DiagnosisGraph MatchingData ScienceData MiningPattern RecognitionStructural Graph TheorySystems EngineeringDiscrete MathematicsClassical ProblemComposition NetworkReliabilityComparison Diagnosis ModelMatching TechniqueComputer ScienceMatching Composition NetworkNetwork ScienceGraph TheoryHypercube QnNetwork AlgorithmDiagnostic SystemSoftware TestingHigh-dimensional Network
The classical problem of diagnosability is discussed widely and the diagnosability of many well-known networks has been explored. We consider the diagnosability of a family of networks, called the matching composition network (MCN); a perfect matching connects two components. The diagnosability of MCN under the comparison model is shown to be one larger than that of the component, provided some connectivity constraints are satisfied. Applying our result, the diagnosability of the hypercube Qn, the crossed cube CQ/sub n/, the twisted cube TQ/sub n/, and the Mobius cube MQ/sub n/ can all proven to be n, for n/spl ges/4. In particular, we show that the diagnosability of the four-dimensional hypercube Q/sub 4/ is 4, which is not previously known.
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