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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/802586

Title
A predictive power control scheme for energy efficient state estimation via wireless sensor networks
Author/Creator
Quevedo, Daniel E.;  Ahlén, Anders
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
We investigate state estimation via wireless sensor networks over fading channels causing random packet loss. Packet loss probabilities depend upon the time-varying channel gains and transmission power levels used by the sensors. We develop a predictive controller which trades off sensor energy expenditure versus state estimation accuracy. The latter is measured by the expected value of the future covariance matrices provided by the associated time-varying Kalman Filter. To further conserve energy at the sensors, the controller is located at the gateway and sends coarsely quantized power increment commands, only whenever necessary. Simulations based on real channel measurements show that the proposed approach gives excellent results.
Relation
47th IEEE Conference on Decision and Control (CDC 2008). Proceedings of the 47th IEEE Conference on Decision and Control (Cancun, Mexico 9-11 December, 2008) p. 1103-1108
Publisher Link
http://dx.doi.org/10.1109/CDC.2008.4739233
Date
2008
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Keyword(s)
wireless sensor networks;  power levels;  sensor energy expenditure;  Kalman filter
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/802586
Identifier
ISBN:9781424431243
Reviewed
Reviewed
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"A predictive power control scheme for energy efficient state estimation via wireless sensor networks"
 
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