@Article{iasc.2020.010116,
AUTHOR = {U. Venkateshkumar, S. Ramakrishnan},
TITLE = {Detection of the Spectrum Hole from N-number of Primary Users Using the Gencluster Algorithm},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {4},
PAGES = {817--830},
URL = {http://www.techscience.com/iasc/v26n4/40286},
ISSN = {2326-005X},
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.},
DOI = {10.32604/iasc.2020.010116}
}