Energy Efficient State Estimation With Wireless Sensors Through the Use of Predictive Power Control and Coding

We study state estimation via wireless sensors over fading channels. Packet loss probabilities depend upon time-varying channel gains, packet lengths and transmission power levels of the sensors. Measurements are coded into packets by using either independent coding or distributed zero-error coding....

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Vydané v:IEEE transactions on signal processing Ročník 58; číslo 9; s. 4811 - 4823
Hlavní autori: Quevedo, Daniel E, Ahlén, Anders, Østergaard, Jan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.09.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Actuators
Algorithms
Capacitive sensors
Channels
Coding
Electrical Engineering with specialization in Signal Processing
Elektroteknik med inriktning mot signalbehandling
Energy efficiency
Energy use
Fading
Information technology
Informationsteknik
Packet loss
Power control
Propagation losses
scheduling
Sensors
Signal processing
Signalbehandling
Sockets
source coding
State estimation
TECHNOLOGY
TEKNIKVETENSKAP
Time-varying channels
Wireless sensor networks
wireless sensors
ISSN:1053-587X, 1941-0476, 1941-0476
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Popis
Shrnutí:We study state estimation via wireless sensors over fading channels. Packet loss probabilities depend upon time-varying channel gains, packet lengths and transmission power levels of the sensors. Measurements are coded into packets by using either independent coding or distributed zero-error coding. At the gateway, a time-varying Kalman filter uses the received packets to provide the state estimates. To trade sensor energy expenditure for state estimation accuracy, we develop a predictive control algorithm which, in an online fashion, determines the transmission power levels and codebooks to be used by the sensors. To further conserve sensor energy, the controller is located at the gateway and sends coarsely quantized power increment commands, only whenever deemed necessary. Simulations based on real channel measurements illustrate that the proposed method gives excellent results.
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ISSN:1053-587X
1941-0476
1941-0476
DOI:10.1109/TSP.2010.2050883