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author:

Liu, Ximeng (Liu, Ximeng.) [1] | Zhang, Yufang (Zhang, Yufang.) [2] | Zhou, Shuming (Zhou, Shuming.) [3] | Li, Xiaoyan (Li, Xiaoyan.) [4]

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EI PKU

Abstract:

Aiming at the problem that the reliability research on hierarchical hypercube networks was not yet systematic, which se-verely restricted its application and popularization, the hierarchical hypercube network was taken as studying object, on the basis of obtaining the relevant topological properties of the hierarchical hypercube network, the h-extra conditional diagnosability and t/s-diagnosability of the n-dimension hierarchical hypercube (HHCn) network under the PMC model and MM* model were obtained by theoretical deduction. In addition, the t/s-diagnosis algorithm of HHCn under the PMC model and MM* model was designed and its time complexity was analyzed. The re-search results show that the h-extra conditional diagnosability of HHCn is about h+1 times of its traditional diagnosability, and the t/s-diagnosability of HHCn is about s+1 times of its traditional diagnosability. Those results improve the reliability index of the hierarchical hypercube network and provide an important theoretical basis for its application and popularization. © 2021, Editorial Board of Journal on Communications. All right reserved.

Keyword:

Geometry Hypercube networks Reliability Topology

Community:

  • [ 1 ] [Liu, Ximeng]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Liu, Ximeng]Fujian Provincial Key Laboratory of Information Security of Network Systems, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Zhang, Yufang]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Zhang, Yufang]Fujian Provincial Key Laboratory of Information Security of Network Systems, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Zhou, Shuming]School of Mathematics and Information, Fujian Normal University, Fuzhou; 350007, China
  • [ 6 ] [Li, Xiaoyan]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350108, China
  • [ 7 ] [Li, Xiaoyan]Fujian Provincial Key Laboratory of Information Security of Network Systems, Fuzhou University, Fuzhou; 350108, China

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Source :

Journal on Communications

ISSN: 1000-436X

Year: 2021

Issue: 3

Volume: 42

Page: 111-121

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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