Reliability assessment of a new general matching composed network

Zhengyuan Liang, Junbin Liang, Guoxuan Zhong
{"title":"Reliability assessment of a new general matching composed network","authors":"Zhengyuan Liang, Junbin Liang, Guoxuan Zhong","doi":"10.23919/JCC.fa.2023-0295.202402","DOIUrl":null,"url":null,"abstract":"The reliability of a network is an important indicator for maintaining communication and ensuring its stable operation. Therefore, the assessment of reliability in underlying interconnection networks has become an increasingly important research issue. However, at present, the reliability assessment of many interconnected networks is not yet accurate, which inevitably weakens their fault tolerance and diagnostic capabilities. To improve network reliability, researchers have proposed various methods and strategies for precise assessment. This paper introduces a novel family of interconnection networks called general matching composed networks (gMCNs), which is based on the common characteristics of network topology structure. After analyzing the topological properties of gMCNs, we establish a relationship between super connectivity and conditional diagnosability of gMCNs. Furthermore, we assess the reliability of gMCNs, and determine the conditional diagnosability of many interconnection networks.","PeriodicalId":504777,"journal":{"name":"China Communications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/JCC.fa.2023-0295.202402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The reliability of a network is an important indicator for maintaining communication and ensuring its stable operation. Therefore, the assessment of reliability in underlying interconnection networks has become an increasingly important research issue. However, at present, the reliability assessment of many interconnected networks is not yet accurate, which inevitably weakens their fault tolerance and diagnostic capabilities. To improve network reliability, researchers have proposed various methods and strategies for precise assessment. This paper introduces a novel family of interconnection networks called general matching composed networks (gMCNs), which is based on the common characteristics of network topology structure. After analyzing the topological properties of gMCNs, we establish a relationship between super connectivity and conditional diagnosability of gMCNs. Furthermore, we assess the reliability of gMCNs, and determine the conditional diagnosability of many interconnection networks.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
新型通用匹配组成网络的可靠性评估
网络的可靠性是维持通信和确保网络稳定运行的重要指标。因此,底层互连网络的可靠性评估已成为一个日益重要的研究课题。然而,目前许多互连网络的可靠性评估还不够准确,这不可避免地削弱了网络的容错和诊断能力。为了提高网络可靠性,研究人员提出了各种精确评估的方法和策略。本文基于网络拓扑结构的共性,提出了一种新的互连网络族--通用匹配组成网络(gMCN)。在分析了 gMCN 的拓扑特性后,我们建立了 gMCN 的超连通性和条件可诊断性之间的关系。此外,我们还评估了 gMCN 的可靠性,并确定了许多互连网络的条件可诊断性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Intellicise model transmission for semantic communication in intelligence-native 6G networks Variational learned talking-head semantic coded transmission system Physical-layer secret key generation for dual-task scenarios Intelligent dynamic heterogeneous redundancy architecture for IoT systems Joint optimization for on-demand deployment of UAVs and spectrum allocation in UAVs-assisted communication
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1