Paper Info
Title
Covariance-Based Transmission Power Control For Estimation Over Wireless Sensor Networks
Abstract
In this study, we would like to design a transmission power control mechanism for minimizing the transmit power of a wireless sensor node subject to a constraint on the quality of estimation at a remote estimator. In particular, we measure the estimation distortion by a mean square error function, and model the transmit power as a function of the packet success rate using the IEEE 802.15.4 standard which was formed for the specification of low-data-rate and low-power wireless communication. We formulate the problem with an infinite horizon discounted cost function. We show that there is a separation between the designs of the optimal estimator and optimal transmit power policy. Then, we use dynamic programming to characterize the optimal transmit power policy in terms of the estimation error covariance. Finally, we propose approximate value iteration as an approximation algorithm to calculate a near-optimal transmit power policy.
Year
DOI
Venue
2018
10.23919/ECC.2018.8550129
2018 EUROPEAN CONTROL CONFERENCE (ECC)
Field
DocType
Citations 
Approximation algorithm,Mathematical optimization,Transmitter power output,Wireless,Computer science,Power control,Signal-to-noise ratio,Mean squared error,Wireless sensor network,Estimator
Conference
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Touraj Soleymani1163.04
Samuele Zoppi2124.26
Mikhail Vilgelm381.54
Sandra Hirche4961106.36
Wolfgang Kellerer51474157.92
John S. Baras61953257.50