Metric Dimension of Nonplanar Networks by Fractional Technique With Application

被引:0
|
作者
Fatima, Arooba [1 ]
Javaid, Muhammad [1 ]
Ashebo, Mamo Abebe [2 ]
机构
[1] Univ Management & Technol, Sch Sci, Dept Math, Lahore 54770, Pakistan
[2] Wollega Univ, Coll Nat & Computat Sci, Dept Math, Nekemte 395, Ethiopia
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Measurement; Wheels; Automation; Robots; Navigation; Image resolution; Washing machines; Processor scheduling; Object recognition; Integer programming; locating sets; networks;
D O I
10.1109/ACCESS.2024.3516206
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The fractional versions of graph-theoretic invariants expand the range of applications like connectivity, scheduling, assignment, and operational research. To investigate this fascinating dimension of fractional graph theory, we present the fractional version of the local metric dimension of networks. The local resolving neighborhood LR(xy) of an edge xy in a network T is the set of vertices in T that distinguish between the vertices x and y. A function rho : V (T ) -> [0, 1] is considered a local resolving function of T if rho(L(xy)) >= 1 for all edges xy in T . The fractional local metric dimension of T is the minimum value of rho(V (T )) across all local resolving functions rho of T . In this article, we primarily calculate the local-based fractional metric dimension by finding precise values for the non-planar connected network with the name of subdivision of wheel network AWW(n, k). Additionally, we investigate an application involving the automation of washing machine functions to demonstrate the practical applicability of our findings.
引用
收藏
页码:195918 / 195925
页数:8
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