An improved hybrid sensor schedule for remote state estimation under limited communication resources

In this paper, we consider remote state estimation. A sensor locally processes its measurement data and sends its local estimate to a remote estimator for further processing. Due to the limited communication resources, the sensor can only communicate with the estimator for a pre-specified number within a given horizon. We propose a hybrid sensor data schedule which introduces an event-triggering mechanism on top of an optimal offline sensor schedule. This hybrid schedule, having a small implementation cost, leads to a smaller estimation error at the remote estimator when compared with the optimal offline sensor schedule.

[1]  Ling Shi,et al.  Time and Event-based Sensor Scheduling for Networks with Limited Communication Resources , 2011 .

[2]  Randy Cogill,et al.  Event-based control using quadratic approximate value functions , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[3]  K. Åström,et al.  Comparison of Riemann and Lebesgue sampling for first order stochastic systems , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[4]  Ling Shi,et al.  Network lifetime maximization via sensor selection , 2009, 2009 7th Asian Control Conference.

[5]  Ling Shi,et al.  Sensor data scheduling over a packet-dropping network , 2010, 2010 8th World Congress on Intelligent Control and Automation.

[6]  T. Başar,et al.  Optimal Estimation with Limited Measurements , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[7]  M. Lemmon,et al.  Event-triggered state estimation in vector linear processes , 2010, Proceedings of the 2010 American Control Conference.

[8]  Qing Zhao,et al.  Transmission Scheduling for Optimizing Sensor Network Lifetime: A Stochastic Shortest Path Approach , 2007, IEEE Transactions on Signal Processing.

[9]  Richard M. Murray,et al.  On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage , 2006, Autom..

[10]  João Pedro Hespanha,et al.  A Survey of Recent Results in Networked Control Systems , 2007, Proceedings of the IEEE.

[11]  Bruno Sinopoli,et al.  Optimal Sensor Scheduling for Remote Estimation over Wireless Sensor Networks , 2009 .

[12]  Petros G. Voulgaris,et al.  On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..