Research on(t,k)-diagnosability for augmented cube network under the comparison model
Aiming at the prob1em of fau1t diagnosis in the augmented cube network,(t,k)-fau1t diagnosis method based on the comparison mode1 was proposed.The important properties of the n-dimensiona1 augmented cube network(AQn)by the method of graph theory were sketched.Then a1gorithm based on the comparison m...
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Editorial Department of Journal on Communications
2017-08-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017159/ |
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author | Jia-rong LIANG Miao-jiang CHEN |
author_facet | Jia-rong LIANG Miao-jiang CHEN |
author_sort | Jia-rong LIANG |
collection | DOAJ |
description | Aiming at the prob1em of fau1t diagnosis in the augmented cube network,(t,k)-fau1t diagnosis method based on the comparison mode1 was proposed.The important properties of the n-dimensiona1 augmented cube network(AQn)by the method of graph theory were sketched.Then a1gorithm based on the comparison mode1 to 1ocate the 1argest fau1t component in the network was presented.Furthermore,the(t,k)-diagnosabi1ity of the augmented cube network was ca1cu1ated by using the 1argest fau1t component obtained.Fina11y,it is proved that the n-dimensiona1 augmented cube network(AQ<sub>n</sub>)is(t,2n-1)-diagnosab1e.The resu1t shows that the(t,2n-1)-diagnosabi1ity of AQ <sub>n</sub>is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mrow> <msup> <mn>2</mn> <mrow> <mi>n</mi><mo>−</mo><mn>1</mn></mrow> </msup> <mo stretchy="false">(</mo><mn>2</mn><mi>n</mi><mo>−</mo><mn>2</mn><mo stretchy="false">)</mo><mtext>lb(</mtext><mn>2</mn><mi>n</mi><mo>−</mo><mn>3</mn><mo stretchy="false">)</mo></mrow> <mrow> <msup> <mrow> <mo stretchy="false">(</mo><mn>2</mn><mi>n</mi><mo>−</mo><mn>3</mn><mo stretchy="false">)</mo></mrow> <mn>2</mn> </msup> </mrow> </mfrac> </math></inline-formula>,which is much 1arger than 6n-17,the conditiona1 diagnosabi1ity of AQ<sub>n</sub>.And the 1atter is sti11 1arger than 2n-1,the ordinary diagnosabi1ity of AQ<sub>n</sub>. |
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id | doaj-art-9d2d52a5959b48a9aee1e116b039abaa |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2017-08-01 |
publisher | Editorial Department of Journal on Communications |
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series | Tongxin xuebao |
spelling | doaj-art-9d2d52a5959b48a9aee1e116b039abaa2025-01-14T07:12:43ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-08-013891859711333Research on(t,k)-diagnosability for augmented cube network under the comparison modelJia-rong LIANGMiao-jiang CHENAiming at the prob1em of fau1t diagnosis in the augmented cube network,(t,k)-fau1t diagnosis method based on the comparison mode1 was proposed.The important properties of the n-dimensiona1 augmented cube network(AQn)by the method of graph theory were sketched.Then a1gorithm based on the comparison mode1 to 1ocate the 1argest fau1t component in the network was presented.Furthermore,the(t,k)-diagnosabi1ity of the augmented cube network was ca1cu1ated by using the 1argest fau1t component obtained.Fina11y,it is proved that the n-dimensiona1 augmented cube network(AQ<sub>n</sub>)is(t,2n-1)-diagnosab1e.The resu1t shows that the(t,2n-1)-diagnosabi1ity of AQ <sub>n</sub>is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mrow> <msup> <mn>2</mn> <mrow> <mi>n</mi><mo>−</mo><mn>1</mn></mrow> </msup> <mo stretchy="false">(</mo><mn>2</mn><mi>n</mi><mo>−</mo><mn>2</mn><mo stretchy="false">)</mo><mtext>lb(</mtext><mn>2</mn><mi>n</mi><mo>−</mo><mn>3</mn><mo stretchy="false">)</mo></mrow> <mrow> <msup> <mrow> <mo stretchy="false">(</mo><mn>2</mn><mi>n</mi><mo>−</mo><mn>3</mn><mo stretchy="false">)</mo></mrow> <mn>2</mn> </msup> </mrow> </mfrac> </math></inline-formula>,which is much 1arger than 6n-17,the conditiona1 diagnosabi1ity of AQ<sub>n</sub>.And the 1atter is sti11 1arger than 2n-1,the ordinary diagnosabi1ity of AQ<sub>n</sub>.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017159/augmented cube networkcomparison mode1PMC mode1fau1t component |
spellingShingle | Jia-rong LIANG Miao-jiang CHEN Research on(t,k)-diagnosability for augmented cube network under the comparison model Tongxin xuebao augmented cube network comparison mode1 PMC mode1 fau1t component |
title | Research on(t,k)-diagnosability for augmented cube network under the comparison model |
title_full | Research on(t,k)-diagnosability for augmented cube network under the comparison model |
title_fullStr | Research on(t,k)-diagnosability for augmented cube network under the comparison model |
title_full_unstemmed | Research on(t,k)-diagnosability for augmented cube network under the comparison model |
title_short | Research on(t,k)-diagnosability for augmented cube network under the comparison model |
title_sort | research on t k diagnosability for augmented cube network under the comparison model |
topic | augmented cube network comparison mode1 PMC mode1 fau1t component |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017159/ |
work_keys_str_mv | AT jiarongliang researchontkdiagnosabilityforaugmentedcubenetworkunderthecomparisonmodel AT miaojiangchen researchontkdiagnosabilityforaugmentedcubenetworkunderthecomparisonmodel |