Covariance-Based Transmission Power Control for Estimation over Wireless Sensor Networks

Covariance-Based Transmission Power Control for Estimation over Wireless Sensor Networks

Title : Covariance-Based Transmission Power Control for Estimation over Wireless Sensor Networks
Authors :
kellerer, Wolfgang
Vilgelm, Mikhail
Zoppi, Samuel
Hirche, Sandra
Soleymani, Touraj
Baras, John, S.
Conference : European Control Conference 2018 pp. 857-862
Date: June 12 - June 15, 2018

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.

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