A Survey on Distributed Channel Selection Technique Using Surf Algorithm for Information Transfer in Multi-hop Cognitive Radio Networks

Electromagnetic spectrum is considered to be the most important resource in wireless communication. Due to advancement in the wireless technology, spectrum scarcity arises. Cognitive radio technology is the solution to meet scarcity of available spectrum. In this paper, the performance of channel selection algorithms, SURF and Selective Broadcasting (SB) for distributed channel selection in cognitive radio (CR) networks is proposed and analyzed. Cognitive radio is capable of identifying underutilized licensed bands of the spectrum and allows reuse by secondary users, whenever channel is idle. The distributed channel selection method is used for the data transfer in multi-hop cognitive Radio Networks. Hence average delivery ratio is improved and harmful interference caused by primary radio nodes is sufficiently reduced. Through NS-2 simulations the results are analyzed and confirmed that SURF proves to be an efficient method for channel selection.