Vol. 15 No. 2 (2025): IJCRT, Volume 15, Issue 2, 2025
Articles

Advanced Spectrum Sensing in Cooperative Cognitive Radio Networks Using Data Fusion for Military Application

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  • Mahila V,
  • Dr. T. Thenmozhi
Mahila V
PG Scholar, Department of Electronics and Communication Engineering, Government College of Engineering Salem, Tamil Nadu, India.
Dr. T. Thenmozhi
Assistant Professor, Department of Electronics and Communication Engineering, Government College of Engineering Salem, Tamil Nadu, India.
DOI: https://doi.org/10.5281/zenodo.15239492

Published 2025-04-18

Keywords

  • Soft and Hard Decision Fusion,
  • Military Communication,
  • Cognitive Radio Networks (CRNs),
  • Cooperative Spectrum Sensing (CSS),
  • Energy Detection,
  • Simulation in MATLAB,
  • Spectrum Detection Accuracy
    • ...More
    Less

How to Cite

Mahila V, & Dr. T. Thenmozhi. (2025). Advanced Spectrum Sensing in Cooperative Cognitive Radio Networks Using Data Fusion for Military Application. IJCRT Research Journal | UGC Approved and UGC Care Journal | Scopus Indexed Journal Norms, 15(2), 50531–50538. https://doi.org/10.5281/zenodo.15239492

Copyright (c) 2025 IJCRT Research Journal | UGC Approved and UGC Care Journal | Scopus Indexed Journal Norms

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

To increase demand for wireless communication spectrum, cognitive radio (CR) technology has arised as a promising solution to efficiently utilize the available radio frequency bands. This paper presents a novel architecture for data fusion in cooperative cognitive radio networks and designed to address the critical challenges of spectrum sensing and management. The proposed architecture supports advanced data fusion techniques and cooperative spectrum sensing to enhance accuracy and speed while maintaining efficient utilization of the spectrum. Simulations provide significant improvements in both accuracy and speed of spectrum sensing.

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