Open Access

ARTICLE

K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks

Khalid Hamid¹, Muhammad Waseem Iqbal^2,*, Erssa Arif¹, Yasir Mahmood^3,4, Ahmad Salman Khan³, Nazri Kama⁴, Azri Azmi⁴, Atif Ikram^5,6

1 Department of Computer Science, Superior University, Lahore, 54000, Pakistan
2 Department of Software Engineering, Superior University, Lahore, 54000, Pakistan
3 Department of Software Engineering, Faculty of Information Technology, The University of Lahore, 54000, Pakistan
4 Advanced Informatics Department, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, 54100, Malaysia
5 Faculty of Informatics and Applied Mathematics, University Malaysia Terengganu, Malaysia
6 Department of Computer Science & Information Technology, Faculty of Information Technology, The University of Lahore, 54000, Pakistan

* Corresponding Author: Muhammad Waseem Iqbal. Email:

Computers, Materials & Continua 2022, 73(3), 5423-5440. https://doi.org/10.32604/cmc.2022.030927

Received 06 April 2022; Accepted 26 May 2022; Issue published 28 July 2022

Abstract

Any number that can be uniquely determined by a graph is called graph invariants. During the most recent twenty years’ innumerable numerical graph invariants have been described and used for correlation analysis. In the fast and advanced environment of manufacturing of networks and other products which used different networks, no dependable assessment has been embraced to choose, how much these invariants are connected with a network graph or molecular graph. In this paper, it will talk about three distinct variations of bridge networks with great capability of expectation in the field of computer science, chemistry, physics, drug industry, informatics, and mathematics in setting with physical and synthetic constructions and networks, since K-Banhatti invariants are newly introduced and have various forecast characteristics for various variations of bridge graphs or networks. The review settled the topology of bridge graph/networks of three unique sorts with three types of K-Banhatti Indices. These concluded outcomes can be utilized for the modeling of interconnection networks of Personal computers (PC), networks like Local area network (LAN), Metropolitan area network (MAN) and Wide area network (WAN), the spine of internet and different networks/designs of PCs, power generation interconnection, bio-informatics and chemical structures.

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Keywords

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