Energy Efficient sensor selection in Multi-band Cognitive Sensor Network

In this paper, we address the problem of sensor selection for energy efficient spectrum sensing in multi-band cognitive sensor networks. We formulate the problem of sensor selection in multi-band case in order to minimize energy consumption while satisfying the detection performance constraints. Energy detector is used as a simple detector which can be implemented in practice. Due to NP-hardness of the original problem, we relaxed it to a more tractable form and suboptimal solution is extracted based on convex optimization framework. Simulation results show that the proposed algorithm not only consumes the least energy in comparison with benchmark algorithms, but has the most ability in finding solutions which satisfy detection performance constraints.