Distance-Based Fractional Dimension of Certain Wheel Networks

Metric dimension is one of the distance-based parameters which are used to find the position of the robot in a network space by utilizing lesser number of notes and minimum consumption of time. It is also used to characterize the chemical compounds. The metric dimension has a wide range of applicati...

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Main Authors: Hassan Zafar, Muhammad Javaid, Mamo Abebe Ashebo
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2024/8870335
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author Hassan Zafar
Muhammad Javaid
Mamo Abebe Ashebo
author_facet Hassan Zafar
Muhammad Javaid
Mamo Abebe Ashebo
author_sort Hassan Zafar
collection DOAJ
description Metric dimension is one of the distance-based parameters which are used to find the position of the robot in a network space by utilizing lesser number of notes and minimum consumption of time. It is also used to characterize the chemical compounds. The metric dimension has a wide range of applications in the field of computer science such as integer programming, radar tracking, pattern recognition, robot navigation, and image processing. A vertex x in a network W resolves the adjacent pair of vertices uv if x attains an unequal distance from end points of uv. A local resolving neighbourhood set RLuv is a set of vertices of W which resolve uv. A mapping α:VW⟶0,1 is called local resolving function of W if αRLuv≥1 for any adjacent pair of vertices of uv of W and the minimal value of αRLuv for all local resolving functions α of W is called local fractional metric dimension of W. In this paper, we have studied the local fractional metric dimension of wheel-related networks such as web-wheel network, subdivision of wheel network, line network of subdivision of wheel network, and double-wheel network and also examined their boundedness.
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spelling doaj-art-b59ead72c8564804a7ce12b54377d95e2025-02-03T01:29:42ZengWileyJournal of Mathematics2314-47852024-01-01202410.1155/2024/8870335Distance-Based Fractional Dimension of Certain Wheel NetworksHassan Zafar0Muhammad Javaid1Mamo Abebe Ashebo2Department of MathematicsDepartment of MathematicsDepartment of MathematicsMetric dimension is one of the distance-based parameters which are used to find the position of the robot in a network space by utilizing lesser number of notes and minimum consumption of time. It is also used to characterize the chemical compounds. The metric dimension has a wide range of applications in the field of computer science such as integer programming, radar tracking, pattern recognition, robot navigation, and image processing. A vertex x in a network W resolves the adjacent pair of vertices uv if x attains an unequal distance from end points of uv. A local resolving neighbourhood set RLuv is a set of vertices of W which resolve uv. A mapping α:VW⟶0,1 is called local resolving function of W if αRLuv≥1 for any adjacent pair of vertices of uv of W and the minimal value of αRLuv for all local resolving functions α of W is called local fractional metric dimension of W. In this paper, we have studied the local fractional metric dimension of wheel-related networks such as web-wheel network, subdivision of wheel network, line network of subdivision of wheel network, and double-wheel network and also examined their boundedness.http://dx.doi.org/10.1155/2024/8870335
spellingShingle Hassan Zafar
Muhammad Javaid
Mamo Abebe Ashebo
Distance-Based Fractional Dimension of Certain Wheel Networks
Journal of Mathematics
title Distance-Based Fractional Dimension of Certain Wheel Networks
title_full Distance-Based Fractional Dimension of Certain Wheel Networks
title_fullStr Distance-Based Fractional Dimension of Certain Wheel Networks
title_full_unstemmed Distance-Based Fractional Dimension of Certain Wheel Networks
title_short Distance-Based Fractional Dimension of Certain Wheel Networks
title_sort distance based fractional dimension of certain wheel networks
url http://dx.doi.org/10.1155/2024/8870335
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AT muhammadjavaid distancebasedfractionaldimensionofcertainwheelnetworks
AT mamoabebeashebo distancebasedfractionaldimensionofcertainwheelnetworks