Analysis of PMC-Labeling in Certain Graph Structures

This paper presents an investigation of pair mean cordial (PMC) labeling for several classes of special graphs, including the torus grid graph, king graph, generalized key graph, generalized Petersen graph, double triangular snake, and double alternate triangular snake. The existence of PMC-labeling for these graph structures is established through suitable constructions and labeling techniques. The study is further motivated by its potential applications in network-related problems, where graph labeling plays a significant role in efficient resource allocation, frequency assignment, and communication channel distribution. In particular, PMC-labeling helps achieve near-balanced edge labeling, which can be effectively utilized in designing communication networks with minimal interference and balanced load distribution.

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Publication Details

Journal
Mathematics Open
Published
2026-10-15
DOI
https://doi.org/10.1142/s2811007226500240
Primary Topic
Graph Labeling and Dimension Problems
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of PMC-Labeling in Certain Graph Structures

Raja Ponraj, S. Prabhu
Mathematics Open
Graph Labeling and Dimension Problems
article

Analysis of PMC-Labeling in Certain Graph Structures

Raja Ponraj, S. Prabhu
article en

Abstract

This paper presents an investigation of pair mean cordial (PMC) labeling for several classes of special graphs, including the torus grid graph, king graph, generalized key graph, generalized Petersen graph, double triangular snake, and double alternate triangular snake. The existence of PMC-labeling for these graph structures is established through suitable constructions and labeling techniques. The study is further motivated by its potential applications in network-related problems, where graph labeling plays a significant role in efficient resource allocation, frequency assignment, and communication channel distribution. In particular, PMC-labeling helps achieve near-balanced edge labeling, which can be effectively utilized in designing communication networks with minimal interference and balanced load distribution.

Mathematics Open
Openalex Percentile: Top 14%
Graph Labeling and Dimension Problems
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