• K.Leela Pavani
• Dr M.Sampath Kumar

Energy efficiency (EE) is one of the important metric in cognitive radio networks. Cognitive Radio Network (CRN) can use radio spectrum more efficiently because of its ability to search for idle spectrum and access it opportunistically in order to transmit its own data. Exploring how better energy efficiency can be achieved in a spectrum sharing environment. This field shows that energy efficiency in cognitive radio network is better when number of secondary users (SU) is more than available channels.To explore the methods to maximize energy efficiency of the Cognitive Radio network in order to enable green wireless network. Therefore, we can make Cognitive Radio network both spectrum efficient and energy efficient.This paper focuses on optimization algorithms to optimize radio resource usage in heterogeneous cognitive wireless networks. The simulation result shows that the proposed algorithm could not only protect the primary users from interference due to secondary users, but also obtain the optimal utility of the cognitive user

Energy efficiency,Cognitive radio, Secondary user, Spectrum efficient

"Maximum Energy Optimization in Cognitive Radio Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.488-491, November-2018, Available :http://www.jetir.org/papers/JETIR1811765.pdf

"Maximum Energy Optimization in Cognitive Radio Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp488-491, November-2018, Available at : http://www.jetir.org/papers/JETIR1811765.pdf