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VOL. 10, ISSUE 4 (2025)
A graph coloring framework for conflict-free frequency assignment in dense network environments
Authors
Mohini Pandey, Dr. PK Mishra, Dr. NP Prajapati
Abstract
Efficient frequency assignment is critical for
ensuring reliable communication in increasingly dense wireless network environments.
As the number of users, devices, and interconnected systems continues to grow,
traditional allocation techniques often fail to prevent interference or
optimize available spectral resources. This paper presents a graph coloring-based
framework for conflict-free frequency assignment, leveraging principles from
graph theory to model interference constraints and assign frequencies
systematically. In the proposed approach, network nodes are represented as
vertices and interference relationships as edges, ensuring adjacent vertices do
not share identical frequencies, analogous to distinct graph colors. The study
evaluates classical, heuristic, and meta-heuristic graph coloring algorithms to
determine their suitability in static and dynamic allocation scenarios.
Performance metrics—including chromatic number efficiency, computational
complexity, and interference reduction—are analyzed in relation to network
density and topology. Results demonstrate that graph coloring provides a
scalable and mathematically grounded solution capable of improving spectrum
utilization while minimizing signal conflict. The proposed framework also
supports adaptability for emerging network paradigms such as 5G, 6G, and IoT
ecosystems. This research highlights graph coloring as a promising foundation
for intelligent and conflict-free frequency management in modern and future
wireless communication environments.
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Pages:208-212
How to cite this article:
Mohini Pandey, Dr. PK Mishra, Dr. NP Prajapati "A graph coloring framework for conflict-free frequency assignment in dense network environments". International Journal of Advanced Scientific Research, Vol 10, Issue 4, 2025, Pages 208-212
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