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The 1-Good-Neighbor Conditional Diagnosability of Some Regular Graphs
被引:2
|作者:
Gu, Mei-Mei
[1
]
Hao, Rong-Xia
[1
]
Yu, Ai-Mei
[1
]
机构:
[1] Beijing Jiaotong Univ, Dept Math, Beijing 100044, Peoples R China
基金:
中国国家自然科学基金;
关键词:
1-good-neighbor conditional diagnosability;
PMC model;
MM* model;
regular graph;
interconnection network;
D O I:
10.1142/S0219265917410018
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
The g-good-neighbor conditional diagnosability is the maximum number of faulty vertices a network can guarantee to identify, under the condition that every fault-free vertex has o at least g fault-free neighbors. In this paper, we study the 1-good-neighbor conditional diagnosabilities of some general k-regular k-connected graphs G under the PMC model and the MM* model. The main result t(1)(G) = 2k-l-1 under some conditions is obtained, where is the maximum number of common neighbors between any two adjacent vertices in G. Moreover, the following results are derived: t(1)(HSn)= 2n - 1 for the hierarchical star networks, t(1)(X-n) = 2n-1 for the BC networks, t(1)(AG(n)) = 4n-10 for the alternating group graphs AG(n).
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