Journal on Communications ›› 2021, Vol. 42 ›› Issue (3): 111-121.doi: 10.11959/j.issn.1000-436x.2021064

• Papers • Previous Articles     Next Articles

Reliability evaluation of hierarchical hypercube network

Ximeng LIU1,2, Yufang ZHANG1,2, Shuming ZHOU3, Xiaoyan LI1,2   

  1. 1 College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
    2 Fujian Provincial Key Laboratory of Information Security of Network Systems, Fuzhou University, Fuzhou 350108, China
    3 School of Mathematics and Information, Fujian Normal University, Fuzhou 350007, China
  • Revised:2020-12-16 Online:2021-03-25 Published:2021-03-01
  • Supported by:
    The National Natural Science Foundation of China(62002062);The National Natural Science Foundation of China(62072109);Education and Scientic Research Project of Young and Middle-aged Teachers of Fujian Provincial Education Department(JAT190031)

Abstract:

Aiming at the problem that the reliability research on hierarchical hypercube networks was not yet systematic, which severely 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 research 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.

Key words: h-extra conditional diagnosability, t/s-diagnosability, t/s-diagnosis algorithm, hierarchical hypercube network, reliability

CLC Number: 

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