Abstract-We consider sensor data scheduling for remote state estimation. Due to constrained communication energy and bandwidth, a sensor needs to decide whether it should send the measurement to a remote estimator for further processing. We propose an event-based sensor data scheduler for linear systems and derive the corresponding minimum squared error estimator. By selecting an appropriate event-triggering threshold, we illustrate how to achieve a desired balance between the sensor-to-estimator communication rate and the estimation quality. Simulation examples are provided to demonstrate the theory.
In REF , an eventtriggered Kalman filter was designed to minimize the MSE, and the balance between communication rate and estimation quality was analyzed.
Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality
IEEE Transactions on Automatic Control
IEEE Transactions on Automatic Control
Computer Science