Dynamic sensor data scheduling for remote estimation over Gilbert-Elliot channel

We consider sensor data scheduling with communication energy constraint for remote state estimation over Gilbert-Elliot channel. The sensor has to decide whether to use high energy to send its local data to a remote estimator due to the limited available energy. By exploiting the feedback information, we propose an effective closed-form dynamic stationary scheduling scheme. Furthermore, we derive the sufficient and necessary condition for estimation stability when sensor can only use low energy at each time. Examples are provided to illustrate the effectiveness of the proposed scheme.