Key nodes based spectrum sensing for cognitive radio

Spectrum sensing is one of the most important mechanisms of cognitive technology. The research of spectrum sensing has caused widely concerned, especially the sample energy detection model is widely used. To guarantee the precision of detection, most of detect mechanisms used joint mechanism, but most of them have redundant problem. This article proposes key nodes based spectrum sensing for cognitive radio, with the guarantee of precision to solve the redundancy problem. In our model, the detect nodes have been distinguished; only key nodes of good capacity are selected for information fusion. Due to the effect of environment those key nodes have better capacity, and they are select by our designed time window mechanism (TWM). The simulation result has indicated our model can solve the redundancy problem with the guarantee of precision.