TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Open Access Research Article

Lucky edge geometric mean labeling of graphs and applications in electrical networks

, , , , , * ,

* Corresponding author · click or hover a name for details

pp. 2133–2141Vol. 27Issue 7October 2024DOI: 10.47974/JDMSC-2086 Crossmark XML
Received:
07 Mar 2024
Published Online:
15 Oct 2024
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-2086
Pages:
2133–2141

Abstract

A Lucky Edge Geometric Mean Labeling (LEGML) is a function μ that assigns the integers to the vertices of graph G such that for every edge as ‘{E}’, uv∈E(G) there exists a function μ*:E(G) → N is defined by μ* (uv) = √μ(u)μ(v) (or) √μ(u)μ(v) with the state that μ* (uv) ≠ μ* (vw) whenever {u} and {vw} have a common vertex as {v}. A minor number ‘k→ E = {1, 2, 3 … k} is the LEGML of G and is signified by h¢GM(G). A result that accepts LEGML is the Lucky Edge Geometric Mean Graph (LEGMG). The idea of the Graph Theory (GT) concept is fused into the Electric Circuit (EC), and the related complicated problems are transformed into graph model representation problems; as a result, the valuation method is simplified and optimized. Network analysis means finding the current or voltage in each branch. One application of GT is the representation of EC. An ‘E’ in a diagram can signify anything in an EC. Each part of the diagram can represent a port or a terminal in the EC. In this article, we have to investigate the Middle Graph (MG) of the star, the Total Graph (TG) of the star, and the central graph (CG) of the star, which accepts LEGML and LEGMG. This method also computes the power consumed by all the resistors of the EC by LEGML.

Keywords

Subject Classifications

05C78

References

[1] A. Aishwariya, “Lucky Edge Labeling of Different Graphs,” International Journal of Innovative Research in Science, Engineering and Technology, vol. 4, no. 2, pp. 469-471 (2015).
[2] O. K. Berdewad and S. D. Deo, “Application of Graph Theory in Electrical Network,” International Journal of Science and Research, pp. 981-982.
[3] P. V. Adhyapak, “Study of Electric Circuits through Graph Theory,” Journal of Applied Mathematics and Statistical Analysis, vol. 1, no. 3, pp. 1-4.
[4] A. Nellai Murugan and M. I. A. Chitra, “Lucky Edge Labeling of PnP_{n}Pn CnC_{n}Cn and Corona Product of PnP_{n}Pn CnC_{n}Cn,” International Journal of Scientific and Innovative Mathematical Research, vol. 2, no. 3, pp. 710-718, Aug. (2014).
[5] A. Nellai Murugan and M. I. A. Chitra, “Lucky Edge Labeling of Triangular Graphs,” International Journal of Mathematics Trends and Technology, vol. 2 (2016).
[6] A. Rosa, “On Certain Valuations of the Vertices of a Graph,” in Theory of Graphs (International Symposium, Rome, July 1966), G. Dunod and Gordan and Breach Science Publisher, Inc., New York and Dunod Paris, pp. 349-355 (1967).
[7] S. Siddamsetti, H. Z. Almngoshi, K. Dinesh, G. C. Prashant, M. A. Bennet, P. Dadheech, and S. Sengan, “Modular Metric Spaces: Some Fixed-Point Theorems and Application of Secure Dynamic Routing for WSN,” Journal of Interdisciplinary Mathematics, vol. 27, no. 2, pp. 393-401 (2024), doi: 10.47974/JIM-1890.
[8] O. M. Teriya, “Application of Graph Theory in Various Fields of Applied Science and Engineering,” Journal of Emerging Technologies and Innovative Research, vol. 6, no. 6, pp. 516-520.
[9] H. M. A. Ghanimi, T. Gopalakrishnan, G. J. Sunny, K. Amarendra, P. Dadheech, and S. Sengan, “Chebyshev Polynomial Approximation in CNN for Zero-Knowledge Encrypted Data Analysis,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-A, pp. 203-214 (2024), doi: 10.47974/JDMSC-1880.
[10] Nikhil Janu, Michael Smith, and Rina Patel, “Development of an Efficient Real-Time H. 264/AVC Advanced Video Compression Encryption Scheme,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 24, no. 8, pp. 2245-2255, 2021.
[11] P. V. Sagar, H. M. A. Ghanimi, L. A. J. Prabhu, L. Raja, P. Dadheech, and S. Sengan, “Secure Multi-Party Computation in Deep Learning: Enhancing Privacy in Distributed Neural Networks,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-A, pp. 249-259 (2024), doi: 10.47974/JDMSC-1879.
[12] G. R. K. Rao, H. M. A. Ghanimi, V. Ramachandran, D. Al-Qahtani, P. Dadheech, and S. Sengan, “Enhanced Security in Federated Learning by Integrating Homomorphic Encryption for Privacy-Protected, Collaborative Model Training,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-A, pp. 361-370 (2024), doi 10.47974/JDMSC-1891.
[13] Aakash Kumar, John Doe, and Sarah Lee, “An Enhanced Quantum Key Distribution Protocol for Security Authentication,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 22, no. 4, pp. 499-507, 2019.
[14] S. H. Nowfal, G. R. K. Rao, V. Velmurugan, S. Sengan, R. K. Bommisetti, and P. Dadheech, “Advancing Viscoelastic Material Modeling: Tackling Time-Dependent Behavior with Fractional Calculus,” Journal of Interdisciplinary Mathematics, vol. 27, no. 2, pp. 307-316 (2024), doi: 10.47974/JIM-1827.
[15] P. V. Sagar, M. Rajyalaxmi, A. V. V. S. Subbalakshmi, S. Sengan, R. K. Bommisetti, and P. Dadheech, “Utilizing Stochastic Differential Equations and Random Forest for Precision Forecasting in Stock Market Dynamics,” Journal of Interdisciplinary Mathematics, vol. 27, no. 2, pp. 285-298 (2024), doi: 10.47974/JIM-1822.

Views: 222Downloads: 10Citations: 0