ESTIMATION ALGORITHM FOR SEQUENTIAL TRANSMISSION OF SENSOR DATA
In this paper, a state estimation problem is considered, where sensor data are transmitted with finite communication capacity constraint. To reduce the sensor data transmission, only one sensor data is transmitted at each period among multiple sensors. We propose a dynamic scheduling algorithm, which is based on the difference between the current sensor data and the last transmitted sensor value. The proposed algorithm chooses sensor data, which have the largest contribution to the estimation performance. With the proposed algorithm, when a sensor data is chosen and transmitted, some information can be derived from not transmitted sensor data. This information is also used for better estimation performance.
state estimation networked control systems kalman filter sequential estimation