The Strong Local Diagnosability of a Hypercube Network with Missing Edges

In the research on the reliability of a connection network, diagnosability is an important problem that should be considered. In this article, a new concept regarding diagnosability, called strong local diagnosability (SLD), which describes the local status of the strong diagnosability (SD) of a sys...

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Main Authors: Min Xie, Jiarong Liang, Xi Xiong
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/5745628
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author Min Xie
Jiarong Liang
Xi Xiong
author_facet Min Xie
Jiarong Liang
Xi Xiong
author_sort Min Xie
collection DOAJ
description In the research on the reliability of a connection network, diagnosability is an important problem that should be considered. In this article, a new concept regarding diagnosability, called strong local diagnosability (SLD), which describes the local status of the strong diagnosability (SD) of a system, is presented. In addition, a few important results related to the SLD of a node of a system are presented. Based on these results, we conclude that in a hypercube network of n dimensions, denoted by Qn, the SLD of a node is equal to its degree when n⩾4. Moreover, we explore the SLD of a node of an incomplete hypercube network. We determine that the SLD of a node is equal to its remaining degree (RD) in an incomplete hypercube network, which is true provided that the number of faulty edges in this hypercube network does not exceed n−3. Finally, we discuss the SLD of a node for an incomplete hypercube network and obtain the following results: if the minimum RD of nodes in an incomplete hypercube network of n-dimensions is greater than 3, then the SLD of any node is still equal to its RD provided that the number of faulty edges does not exceed 7n−3−1. If the RD of each node is greater than 4, then the SLD of each node is also equal to its RD, no matter how many faulty edges exist in Qn.
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spelling doaj-art-a01d593b0d4c40eaa367f73c5d7418df2025-02-03T06:44:39ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/57456285745628The Strong Local Diagnosability of a Hypercube Network with Missing EdgesMin Xie0Jiarong Liang1Xi Xiong2School of Automation Science and Engineering, South China University of Technology, 510640, ChinaSchool of Computer and Electronics Information, Guangxi University, 530004, ChinaSchool of Computer and Electronics Information, Guangxi University, 530004, ChinaIn the research on the reliability of a connection network, diagnosability is an important problem that should be considered. In this article, a new concept regarding diagnosability, called strong local diagnosability (SLD), which describes the local status of the strong diagnosability (SD) of a system, is presented. In addition, a few important results related to the SLD of a node of a system are presented. Based on these results, we conclude that in a hypercube network of n dimensions, denoted by Qn, the SLD of a node is equal to its degree when n⩾4. Moreover, we explore the SLD of a node of an incomplete hypercube network. We determine that the SLD of a node is equal to its remaining degree (RD) in an incomplete hypercube network, which is true provided that the number of faulty edges in this hypercube network does not exceed n−3. Finally, we discuss the SLD of a node for an incomplete hypercube network and obtain the following results: if the minimum RD of nodes in an incomplete hypercube network of n-dimensions is greater than 3, then the SLD of any node is still equal to its RD provided that the number of faulty edges does not exceed 7n−3−1. If the RD of each node is greater than 4, then the SLD of each node is also equal to its RD, no matter how many faulty edges exist in Qn.http://dx.doi.org/10.1155/2018/5745628
spellingShingle Min Xie
Jiarong Liang
Xi Xiong
The Strong Local Diagnosability of a Hypercube Network with Missing Edges
Complexity
title The Strong Local Diagnosability of a Hypercube Network with Missing Edges
title_full The Strong Local Diagnosability of a Hypercube Network with Missing Edges
title_fullStr The Strong Local Diagnosability of a Hypercube Network with Missing Edges
title_full_unstemmed The Strong Local Diagnosability of a Hypercube Network with Missing Edges
title_short The Strong Local Diagnosability of a Hypercube Network with Missing Edges
title_sort strong local diagnosability of a hypercube network with missing edges
url http://dx.doi.org/10.1155/2018/5745628
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