Title :
An improved hybrid sensor schedule for remote state estimation under limited communication resources
Author :
Junfeng Wu ; Johansson, Karl H. ; Ling Shi
Author_Institution :
Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
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.
Keywords :
estimation theory; scheduling; sensors; state estimation; estimation error; event-triggering mechanism; hybrid schedule; hybrid sensor data schedule; hybrid sensor schedule; implementation cost; limited communication resources; measurement data; optimal offline sensor schedule; remote estimator; remote state estimation;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426812