Diagnosability of Lexicographic Product of Wheels and Paths under the PMC Model.

Saved in:
Bibliographic Details
Title: Diagnosability of Lexicographic Product of Wheels and Paths under the PMC Model.
Authors: Bu Chen1 achenbu@163.com, Feng Li2 li2006369@126.com
Source: IAENG International Journal of Applied Mathematics. Jun2025, Vol. 55 Issue 6, p1782-1788. 7p.
Subjects: Fault diagnosis, Multiprocessors, Wheels
Abstract: Diagnosability is a critical metric for evaluating the fault diagnosis capabilities of interconnection networks in multiprocessor systems. Accurate assessment of diagnosability requires system-level fault diagnosis models, which play a key role in the design of new interconnection networks. In this paper, we introduce a novel network, denoted as Pm ◦ Wn, which represents the lexicographic product of a wheel and a path. Under the PMC model, we prove that the diagnosability of Pm ◦ Wn is 3 + n and its h-edge tolerable diagnosability is 3 + n - h for 0 ≤ h < 3 + n, m ≥ 4, and n ≥ 7. These results reveal that Pm ◦Wn exhibits strong fault diagnosis capabilities. Furthermore, the lexicographic product offers a promising approach to designing interconnection network architectures for large-scale multiprocessor systems. [ABSTRACT FROM AUTHOR]
Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 185633659
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Diagnosability of Lexicographic Product of Wheels and Paths under the PMC Model.
– Name: Author
  Label: Authors
  Group: Au
  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Bu+Chen%22&quot;&gt;Bu Chen&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;i&gt; achenbu@163.com&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Feng+Li%22&quot;&gt;Feng Li&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt;&lt;i&gt; li2006369@126.com&lt;/i&gt;
– Name: TitleSource
  Label: Source
  Group: Src
  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22IAENG+International+Journal+of+Applied+Mathematics%22&quot;&gt;IAENG International Journal of Applied Mathematics&lt;/searchLink&gt;. Jun2025, Vol. 55 Issue 6, p1782-1788. 7p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Fault+diagnosis%22&quot;&gt;Fault diagnosis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Multiprocessors%22&quot;&gt;Multiprocessors&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Wheels%22&quot;&gt;Wheels&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Diagnosability is a critical metric for evaluating the fault diagnosis capabilities of interconnection networks in multiprocessor systems. Accurate assessment of diagnosability requires system-level fault diagnosis models, which play a key role in the design of new interconnection networks. In this paper, we introduce a novel network, denoted as Pm ◦ Wn, which represents the lexicographic product of a wheel and a path. Under the PMC model, we prove that the diagnosability of Pm ◦ Wn is 3 + n and its h-edge tolerable diagnosability is 3 + n - h for 0 ≤ h &lt; 3 + n, m ≥ 4, and n ≥ 7. These results reveal that Pm ◦Wn exhibits strong fault diagnosis capabilities. Furthermore, the lexicographic product offers a promising approach to designing interconnection network architectures for large-scale multiprocessor systems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185633659
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 1782
    Subjects:
      – SubjectFull: Fault diagnosis
        Type: general
      – SubjectFull: Multiprocessors
        Type: general
      – SubjectFull: Wheels
        Type: general
    Titles:
      – TitleFull: Diagnosability of Lexicographic Product of Wheels and Paths under the PMC Model.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bu Chen
      – PersonEntity:
          Name:
            NameFull: Feng Li
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 19929978
          Numbering:
            – Type: volume
              Value: 55
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: IAENG International Journal of Applied Mathematics
              Type: main
ResultId 1