Title :
Fast sensor scheduling for estimation of 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. This paper considers the sensor scheduling problem for estimation of networked sensor systems, and a fast sensor scheduling algorithm for the estimation problem is presented.
Keywords :
distributed sensors; scheduling; stochastic systems; battery power source; distributed sensors; networked sensor system; power saving; sensor scheduling; state dependent noise; stochastic system; Battery charge measurement; Noise measurement; Position measurement; Processor scheduling; Scheduling algorithm; Sensor phenomena and characterization; Sensor systems; State estimation; Target tracking; Time measurement; Sensor scheduling; networked sensor systems; stochastic systems;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3