Title :
Fast and optimal sensor scheduling for networked sensor systems
Author :
Arai, Shogo ; Iwatani, Yasushi ; Hashimoto, Koichi
Author_Institution :
Dept. of Syst. Inf. Sci., Tohoku Univ., Sendai, Japan
Abstract :
This paper addresses a sensor scheduling problem for a class of networked sensor systems whose sensors are spatially distributed and measurements are influenced by state dependent noise. Sensor scheduling is required to achieve power saving since each sensor operates with a battery power source. The scheduling problem is formulated as a model predictive control problem with single sensor measurement per time. It is assumed that all sensors have state dependent noise and have the same characteristics, which follows from the properties of networked sensor systems.We propose a fast and optimal sensor scheduling algorithm for a class of networked sensor systems. Computation time of the proposed algorithm is proportional to the number of sensors and does not depend on the prediction horizon. In addition, we provide a fast sensor scheduling algorithm for a general class of systems by using a linear approximation of the sensor model.
Keywords :
distributed sensors; predictive control; scheduling; battery power source; linear approximation; networked sensor systems; power saving; sensor scheduling; spatially distributed sensor; state dependent noise; Battery charge measurement; Linear approximation; Noise measurement; Power system modeling; Predictive control; Predictive models; Scheduling algorithm; Sensor phenomena and characterization; Sensor systems; Time measurement;
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2008.4739445