A REVIEW ON A GENETIC ALGORITHM BASED SPECTRUM SHARING STRATEGY USING ENERGY EFFICIENT CLUSTERING FOR COOPERATIVE CR NETWORKS

Cognitive radio is emerging as a promising technique to improve the utilization of radio frequency spectrum. In this research proposal, consider the problem based on energy constrains in a cognitive radio network. In this research proposal an energy efficient transmission structure is propose. An energy dependent dynamic clustering technique is implemented to save energy disbursed in broadcasting results and swapping information between IUs-PU and IUs-SUs. All the cognitive radios are grouped in few clusters and clusters choose clusters head by genetic algorithm criteria, clustering based cooperative spectrum sensing scheme using Centralized energy based selection scheme. Clusters head collect packets from their respective cluster nodes in a TDMA manner and make decision through certain data fusion scheme. Clusters head decisions are forward to the common fusion centre to decide whether the spectrum is idle or not. This proposed work reduce the power consumption, increase the network throughput, network's life time and reduce the end to end delay of cognitive radio network as compare to traditional clustering based approach