Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality

• Published in: IEEE transactions on automatic control Vol. 58; no. 4; pp. 1041 - 1046
• Main Authors: Junfeng Wu, Qing-Shan Jia, Johansson, K. H., Ling Shi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-04-2013; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Approximation methods; Covariance matrix; Error detection; Estimation error; Estimation performance; Estimators; event-based scheduling; Kalman filter; Linear systems; Scheduling; sensor scheduling; Sensors; Simulation; State estimation; Stochastic processes; Tradeoffs
• ISSN: 0018-9286; 1558-2523; 1558-2523
• DOI: 10.1109/TAC.2012.2215253

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.