Prediction model based hybrid routing protocol for cognitive radio ad-hoc network

Cognitive is a new paradigm and now seen as a solution to the ‘spectrum scarcity’ problem in wireless communication system. It is necessary to use spectrum efficiently due to its limited availability. Cognitive radio network reuses the spectrum environment to detect the white spaces in the frequency spectrum. White spaces are then allocated to secondary user to carry out the transmission and keeping in check the interference to primary user. Various prediction models and algorithms based on probability theory have been used to predict the channel states to ensure efficient use. In this paper, we propose a Prediction Model Based Hybrid Routing protocol For Cognitive Radio Ad-hoc Network. Proposed method is compared with technique used previously. Simulating the scenario results, conclusions are drawn and discussed.