The g-good-neighbor conditional diagnosability of star graphs under the PMC and MM* model

Abstract

Diagnosability plays an important role in measuring the fault tolerance and reliability of interconnection networks. The g-good-neighbor conditional faulty set is a special faulty set that every fault-free vertex should have at least g fault-free neighbors. The g-good-neighbor conditional diagnosability is a metric that can give the maximum cardinality of g-good-neighbor conditional faulty set that the system is guaranteed to identify. This paper shows that the g-good-neighbor conditional diagnosabilities of star graph Sn under the PMC and MM* model are (n−g)(g+1)!−1 for n≥4 and 0≤g≤n−2. Our study shows the g-good-neighbor conditional diagnosability of star graph is several times larger than the classical diagnosability of star graph.