Jointly optimizing sensor selection and power control for nonlinear sensor networks

Problem of joint optimization of active sensor selection and power control for nonlinear sensor networks is considered. The proposed solution expresses binary (discrete) constraints of the sensor selection problem as continuous d.c. (difference of two convex functions/sets) constraint along with an exact penalty function approach. Thus, the problem is expressed as minimization of a d.c. function subject to convex constraints. Subsequent simulation results indicate that the proposed method is able to locate its optimal solution and that the network performance can be fully achieved by activating half of the available sensor nodes.