Sensor Transmission Scheduling Over a Time-Varying Channel

This article studies the sensor transmission scheduling problem under energy constraints, where the time-varying channel from the sensor to the remote state estimator is considered. By using the feedback information of the remote state estimator, the optimal transmission strategy with a threshold structure is proposed. Then, a sufficient and necessary condition for estimation stability under the optimal strategy is driven. Furthermore, a random transmission strategy (RTS) is presented to defend against malicious eavesdropping. Compared with the optimal strategy without considering malicious eavesdropping, it is shown that RTS can handle eavesdroppers at the expense of estimation performance. Finally, a numerical example is given to illustrate the validity of the results.