Distributed channel selection based on channel weight for cognitive radio network

Cognitive radio (CR) technology enables the opportunistic use of the vacant licensed frequency bands, thereby improving the spectrum utilization. However, the CR operation must not interfere with the transmissions of the licensed or primary users (PUs), and this is generally achieved by incurring a trade-off in the CR network performance. We propose an algorithm for selecting best channel based on the distributed channel assignment manner in cognitive radio (CR) networks. In this paper, we study and analyze the impact of different Primary Radio nodes activity pattern with the help of two performance metrics. And compare our protocol with two other algorithms, Random (RD), and Selective Broadcasting (SB). We implement and analyze the performance of our algorithm through NS-2 simulations.