The $g$-good-neighbor diagnosability of product networks under the PMC model

Fuente: arXiv
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Main Authors: Wang, Zhao, Mao, Yaping, Hsieh, Sun-Yuan, Klasing, Ralf
Format: Preprint
Published: 2025
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author Wang, Zhao
Mao, Yaping
Hsieh, Sun-Yuan
Klasing, Ralf
author_facet Wang, Zhao
Mao, Yaping
Hsieh, Sun-Yuan
Klasing, Ralf
contents The concept of neighbor connectivity originated from the assessment of the subversion of espionage networks caused by underground resistance movements, and it has now been applied to measure the disruption of networks caused by cascading failures through neighbors. In this paper, we give two necessary and sufficient conditions of the existance of $g$-good-neighbor diagnosability. We introduce a new concept called $g$-good neighbor cut-component number (gc number for short), which has close relation with $g$-good-neighbor diagnosability. Sharp lower and upper bounds of the gc number of general graphs in terms of the $g$-good neighbor connectivity is given, which provides a formula to compute the $g$-good-neighbor diagnosability for general graphs (therefore for Cartesian product graphs). As their applications, we get the exact values or bounds for the gc numbers and $g$-good-neighbor diagnosability of grid, torus networks and generalized cubes.
format Preprint
id arxiv_https___arxiv_org_abs_2503_19463
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The $g$-good-neighbor diagnosability of product networks under the PMC model
Wang, Zhao
Mao, Yaping
Hsieh, Sun-Yuan
Klasing, Ralf
Discrete Mathematics
Combinatorics
The concept of neighbor connectivity originated from the assessment of the subversion of espionage networks caused by underground resistance movements, and it has now been applied to measure the disruption of networks caused by cascading failures through neighbors. In this paper, we give two necessary and sufficient conditions of the existance of $g$-good-neighbor diagnosability. We introduce a new concept called $g$-good neighbor cut-component number (gc number for short), which has close relation with $g$-good-neighbor diagnosability. Sharp lower and upper bounds of the gc number of general graphs in terms of the $g$-good neighbor connectivity is given, which provides a formula to compute the $g$-good-neighbor diagnosability for general graphs (therefore for Cartesian product graphs). As their applications, we get the exact values or bounds for the gc numbers and $g$-good-neighbor diagnosability of grid, torus networks and generalized cubes.
title The $g$-good-neighbor diagnosability of product networks under the PMC model
topic Discrete Mathematics
Combinatorics
url https://arxiv.org/abs/2503.19463