Spectrum Aware Clustering Algorithm Based on a Novel Optimization Model
Cognitive Radio Sensor Network(CRSN)has been intensively studied in order to alleviate the shortage of spectrum re-sources.Chernobyl Disaster Optimizer(CDO),as a novel optimization model,has advantages of strong convergence performance,simple structure,and fewer parameters to be adjusted.To improve the energy efficiency of CRSN and prolong the lifetime of CRSN,this paper proposes a Quantum Chernobyl Disaster Optimizer-based Spectrum Aware Clustering Algorithm(QCDOC).The main goal of QCDOC is to improve the lifetime of network by minimizing the communication distances between nodes.QCDOC introduces quantum rotating gates and quantum non-gates for CDO to enhance searching capability,and employs a binary population encoding to make it suitable for the Cluster Head(CH)election problem.QCDOC considers the residual energy of nodes,distance and spectrum availability while designing a fitness function to improve the energy efficiency of algorithm.Experiment results show that the QCDOC algorithm has longer lifetime,more data transmission and more balanced network energy consumption than comparison algorithms.
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