DocumentCode :
2620895
Title :
A low-power filtering scheme for distributed sensor networks
Author :
Wolfe, Jonathan D. ; Speyer, Jason L.
Author_Institution :
California Univ., Los Angeles, CA, USA
Volume :
6
fYear :
2003
fDate :
9-12 Dec. 2003
Firstpage :
6325
Abstract :
Because the energy required for communications tasks is much greater than that required for computational tasks, estimation algorithms designed for distributed networks of sensors must attempt to reduce the communications overhead that they require. We suggest a simple mechanism for implementing Luenberger observers that allows estimates to be constructed from transmissions generated at a slower rate than the measurements are collected, while maintaining a robustness to communications outages, interruptions and delays.
Keywords :
filtering theory; observers; wireless sensor networks; Luenberger observers; distributed sensor networks; estimation algorithms; low-power filtering scheme; wireless communication; Algorithm design and analysis; Computer networks; Delay estimation; Distributed computing; Equations; Filtering algorithms; Nonlinear filters; Robustness; Sensor arrays; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-7924-1
Type :
conf
DOI :
10.1109/CDC.2003.1272318
Filename :
1272318
Link To Document :
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