Back to Search Start Over

Detection of the Spectrum Hole from N-number of Primary Users Using the Gencluster Algorithm.

Authors :
Venkateshkumar, U.
Ramakrishnan, S.
Source :
Intelligent Automation & Soft Computing; 2020, Vol. 26 Issue 4, p817-830, 14p
Publication Year :
2020

Abstract

A hybrid form of the genetic algorithm and the modified K-Means cluster algorithm forms as a Gencluster to detect a spectrum hole among n-number of primary users (PUs) is present in the cooperative spectrum sensing model. The fusion center (FC), applies the genetic algorithm to identify the best chromosome, which contains many PUs cluster centers and by applying the modified K-Means cluster algorithm identifies the cluster with the PU vacant spectrum showing high accuracy, and maximum probability of detection with minimum false alarm rates are achieved. The graphical representation of the performance metric of the system model shows 95% accuracy with 98.63% detection probability and 1.36% false alarm probability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10798587
Volume :
26
Issue :
4
Database :
Complementary Index
Journal :
Intelligent Automation & Soft Computing
Publication Type :
Academic Journal
Accession number :
147607817
Full Text :
https://doi.org/10.32604/iasc.2020.010116