SECURE METRIC DIMENSION OF ALTERNATE SNAKE GRAPHS
We study the NP-hard problem of determining the secure metric dimension of graphs. A resolving set uniquely identifies each vertex by its distance vector to the set; the smallest is the metric basis, and its size is the metric dimension. A set is secure if each outside vertex can replace an inside o...
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Published in | Journal of mechanics of continua and mathematical sciences Vol. 20; no. 5; pp. 54 - 68 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Institute of Mechanics of Continua and Mathematical Sciences
01.05.2025
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Subjects | |
Online Access | Get full text |
ISSN | 0973-8975 2454-7190 |
DOI | 10.26782/jmcms.2025.05.00005 |
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Abstract | We study the NP-hard problem of determining the secure metric dimension of graphs. A resolving set uniquely identifies each vertex by its distance vector to the set; the smallest is the metric basis, and its size is the metric dimension. A set is secure if each outside vertex can replace an inside one while preserving resolvability. Computing this parameter is NP-complete and has applications in routing, image processing, and network verification. This paper determines the secure metric dimension for alternate snake graphs, including k-polygonal, double, and triple alternate triangular snakes |
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AbstractList | We study the NP-hard problem of determining the secure metric dimension of graphs. A resolving set uniquely identifies each vertex by its distance vector to the set; the smallest is the metric basis, and its size is the metric dimension. A set is secure if each outside vertex can replace an inside one while preserving resolvability. Computing this parameter is NP-complete and has applications in routing, image processing, and network verification. This paper determines the secure metric dimension for alternate snake graphs, including k-polygonal, double, and triple alternate triangular snakes. We study the NP-hard problem of determining the secure metric dimension of graphs. A resolving set uniquely identifies each vertex by its distance vector to the set; the smallest is the metric basis, and its size is the metric dimension. A set is secure if each outside vertex can replace an inside one while preserving resolvability. Computing this parameter is NP-complete and has applications in routing, image processing, and network verification. This paper determines the secure metric dimension for alternate snake graphs, including k-polygonal, double, and triple alternate triangular snakes |
Author | Batiha, Iqbal M. Anakira, Nidal Shehab, Mohammad Mohamed, Basma Odetatllah, Huda Odeh, Mohammad |
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Title | SECURE METRIC DIMENSION OF ALTERNATE SNAKE GRAPHS |
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