An Energy-Efficient Cooperative Spectrum Sensing Strategy with Robustness Against Noise Uncertainty for Cognitive Radio Networks

In the recent past, the energy-efficient feature of cognitive radio networks has drawn the attention of many researchers. This is due to rapid growing demand of green environment standards and escalation in the growth of energy consumption costs. The work reported in the literature was developed for the sensing environment where the noise variance remains constant, which is not true in real life. This paper proposes a robust energy-efficient cooperative spectrum sensing strategy, which is immune to noise uncertainty. Coarse and fine sensing schemes are employed in the proposed method to achieve energy-efficient feature. Simulation upshots show that energy consumption is reduced significantly with revamped detection performance against noise uncertainty in the proposed technique.