Title :
Deterministic Sensor Data Scheduling Under Limited Communication Resource
Author :
Chao Yang ; Ling Shi
Author_Institution :
Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Abstract :
We consider finite time-horizon sensor data scheduling under limited communication resource. A sensor can only send d of its measurement data to a remote estimator within a time-horizon T >;>; d. When use the terminal estimation error covariance of the estimator as a performance metric, we provide an explicit form of the optimal data schedule; when use the average estimation error covariance as a performance metric, we provide a necessary condition for a schedule to be optimal for a general T . When T has a special form, the necessary condition allows us to construct an explicit optimal data schedule.
Keywords :
Kalman filters; covariance analysis; estimation theory; sensors; deterministic sensor data scheduling; finite time-horizon sensor data scheduling; limited communication resource; optimal data scheduling; performance metrics; remote estimator; terminal estimation error covariance; Cost function; Estimation error; Job shop scheduling; Optimal scheduling; Schedules; Time measurement; Communication constraint; Kalman filter; remote state estimation; sensor data scheduling;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2011.2160863