A novel method for energy-efficient cooperative spectrum sensing in cognitive sensor networks

In this paper, we propose an energy-efficient technique for cooperative spectrum sensing in cognitive sensor networks. In cooperative spectrum sensing, information is collected from different sensors to make a final decision. We use an "on/off" method for cognitive wireless sensor networks and also formulate the determination of the number of sensing nodes, such that energy consumption in spectrum sensing reduces and satisfies the constraint on the detection performance. The constraint on the detection performance is given by a minimum global probability of detection and a maximum global probability of false alarm. We use the energy detector as the spectrum sensing technique and solve the problem using the convex optimization methods while consider the computational complexity. Simulation results show that our proposed technique saves significant energy in different conditions.