DocumentCode :
2251385
Title :
A predictive power control scheme for energy efficient state estimation via wireless sensor networks
Author :
Quevedo, Daniel E. ; Ahlén, Anders
Author_Institution :
Sch. of Electr. Eng.&Comput. Sci., Univ. of Newcastle, Newcastle, NSW, Australia
fYear :
2008
fDate :
9-11 Dec. 2008
Firstpage :
1103
Lastpage :
1108
Abstract :
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.
Keywords :
Kalman filters; covariance matrices; fading channels; internetworking; power control; predictive control; probability; random processes; state estimation; telecommunication control; time-varying channels; wireless sensor networks; covariance matrix; energy efficient state estimation; fading channel; gateway; power increment command quantization; predictive power control scheme; random packet loss probability; time-varying Kalman filter; time-varying channel gain; wireless sensor network; Actuators; Communication system control; Energy efficiency; Fading; Power control; Propagation losses; Sockets; State estimation; Time-varying channels; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2008.4739233
Filename :
4739233
Link To Document :
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