LAUSR

In this letter, we investigate the distortion minimization problem by jointly optimizing the sleep-wake scheduling and the transmit power in energy harvesting wireless sensor networks. A mean square error minimization problem with a more efficient harvest-use-store architecture and limited available channels taken into account is formulated. To tackle this mixed-integer non-linear programming, we first transform it into a tractable convex problem through the integer relaxation. Subsequently, a low-complexity sleep-wake scheduling and power control algorithm is proposed to solve the transformed problem. Specifically, we uncover the special structure of the transformed problem and employ it to obtain the optimal sleep-wake policy and power allocation for each sensor node.