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An Efficient Spectrum Sensing Framework and Attack Detection in Cognitive Radio Networks using Hybrid ANFIS
2015
Indian Journal of Science and Technology
Cognitive radio is being recognized as an intelligent technology due to its ability to rapidly and autonomously adapt operating parameters to changing environments and conditions. In order to reliably and swiftly detect spectrum holes in cognitive radios, spectrum sensing must be used. Accurate spectrum sensing is important in improving the efficiency of cognitive radio networks. False sensing results in either waste of spectrum or harmful interference to primary users who may remotely or
doi:10.17485/ijst/2015/v8i28/71246
fatcat:so6bsdzovzc4xdoudtiwkhqc6i