Odd Hamming Distance Labeling of Some Path Related Graphs

Binary data strings of equal length are compared using the metric called hamming distance. It is the number of bit positions in which the two binary strings differ. The hamming distance between two binary strings m and n of equal length is denoted by hd(m,n). We introduced the concept of Hamming distance labeling and odd Hamming distance labeling. In this paper, it is shown that Path graph, Star graph, One point union of Path graphs, Coconut tree, are Odd hamming distance labeled graphs and obtained their Odd hamming distance number. Both Hamming and Odd Hamming distance labeling are used to send secret messages in Cryptography.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2025-03-19
DOI
https://doi.org/10.52783/cana.v32.4368
Primary Topic
Graph Labeling and Dimension Problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Odd Hamming Distance Labeling of Some Path Related Graphs

K.Thirusangu E.Esakkiammal
Communications on Applied Nonlinear Analysis
Graph Labeling and Dimension Problems
article

Odd Hamming Distance Labeling of Some Path Related Graphs

K.Thirusangu E.Esakkiammal
article en

Abstract

Binary data strings of equal length are compared using the metric called hamming distance. It is the number of bit positions in which the two binary strings differ. The hamming distance between two binary strings m and n of equal length is denoted by hd(m,n). We introduced the concept of Hamming distance labeling and odd Hamming distance labeling. In this paper, it is shown that Path graph, Star graph, One point union of Path graphs, Coconut tree, are Odd hamming distance labeled graphs and obtained their Odd hamming distance number. Both Hamming and Odd Hamming distance labeling are used to send secret messages in Cryptography.

Communications on Applied Nonlinear AnalysisVol. 32(9s)
Openalex Percentile: Top 93%
Graph Labeling and Dimension Problems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Odd Hamming Distance Labeling of Some Path Related Graphs — K.Thirusangu E.Esakkiammal · Communications on Applied Nonlinear Analysis (2025) | TGRS Research Map | TGRS