In recent years, wireless charging techniques applied to sensor networks have been widely studied. The sensors in most studies are considered to be equally important, and the main purpose is to maintain the working sensors as many as possible. However, different sensors have different contributions to the surveillance application, especially for network connectivity and surveillance quality. The sensor closer to the base station has a larger contribution to network connectivity since its failure can block more data transmissions. On the other hand, a sensor in a sparse area has a larger contribution to surveillance quality because few or no neighboring sensors can execute the sensing operation instead of the sensor if it is energy exhaustion. This paper proposes an energy recharging mechanism, called CSCP, which adopts the mobile charger to recharge the sensors according to the recharging requests. The proposed CSCP considers the contribution of each grid in terms of network connectivity, surveillance quality as well as path cost, aiming to recharge the grids where the sensors can maximize the surveillance quality. Performance research reveals that the proposed CSCP has better performance than the related studies in the surveillance quality, the number of working sensors, and recharging efficiency.
