Novel resolvability parameter of some well-known graphs and exchange properties with applications

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Sikander Ali, Muhammad Azeem, Manzoor Ahmad Zahid, Muhammad Usman, Madhumangal Pal
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引用次数: 0

Abstract

The resolvability parameter is an essential component, especially in the context of network research, due to its theoretical and practical significance. Its importance is evident in several applications and outcomes, including social network analysis, network security, facility location and site selection, and effective routing. We introduce a novel resolvability parameter, Fault-Tolerant Mixed Metric Dimension, in this paper, and this defined as let \(R_{m,f}\) be a set that nodes on a graph as both an edge-resolving set and a resolving set. If \(R_{m,f}\) can uniquely represent the graph’s edges and vertices, then it is referred to as a mixed resolving set, and its all subsets cardinality is called the mixed metric dimension. If all of the graph’s vertices and edges are uniquely represented by \(R_{m,f}^{\prime },\) and all subsets of \(R_{m,f}^{\prime }\) with of cardinality one less than \(R_{m,f}\) likewise have unique representations for all of the graph’s vertices and edges, then \(R_{m,f}\) is referred to as a Fault-Tolerant Mixed Resolving Set, and If two such sets \(R_{m,f}^{1}\) and \(R_{m,f}^{2}\) exist such that \(R_{m,f}^{1}\cap R_{m,f}^{2}\ne 0\) then we say that the graph has exchange property. \(R_{m,f}\)’s minimum cardinality is known as its fault-tolerant mixed Metric Dimension. These definitions offer a means of measuring a collection of vertices’ capacity to represent graph structures uniquely, taking fault-tolerant and resolution into account. Furthermore, a problem related to the lab’s system network is also discussed and linked with this topic in this work. Like a lab engineer is embarking on the creation of a new circular lab, intending to establish where and how many devices within it to supply internet with wire to all systems. A solution to this problem is proving this novel topic authenticity.

Abstract Image

一些著名图形的新可解析参数及交换特性的应用
由于其理论和实践意义,可解性参数是一个重要组成部分,尤其是在网络研究方面。它的重要性在社交网络分析、网络安全、设施定位和选址以及有效路由等多个应用和成果中显而易见。我们在本文中引入了一个新的可解析度参数--容错混合度量维度,其定义为:设 \(R_{m,f}\) 是图上的节点集,既是边解析集,又是解析集。如果 \(R_{m,f}\) 可以唯一地表示图的边和顶点,那么它就被称为混合解析集合,它的所有子集的心智称为混合度量维度。如果图的所有顶点和边都能\(R_{m,f}^{\prime },\)唯一地表示,并且\(R_{m,f}^{\prime }\) 的所有子集的心度小于\(R_{m,f}\),同样也能唯一地表示图的所有顶点和边、如果存在两个这样的集合 \(R_{m,f}^{1}\) 和 \(R_{m,f}^{2}\) ,使得 \(R_{m,f}^{1}\cap R_{m,f}^{2}\ne 0\) 那么我们就说这个图具有交换属性。\(R_{m,f}\) 的最小心数被称为其容错混合度量维度(fault-tolerant mixed Metric Dimension)。这些定义提供了一种衡量顶点集合唯一表示图结构的能力的方法,并将容错性和分辨率考虑在内。此外,本作品还讨论了一个与实验室系统网络相关的问题,并将其与本主题联系起来。比如,一位实验室工程师正在着手创建一个新的圆形实验室,打算在实验室内的什么地方、有多少设备来为所有系统提供有线互联网。这一问题的解决方案证明了这一新颖课题的真实性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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