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
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;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272318