Covariance-Based Transmission Power Control for Estimation over Wireless Sensor Networks
| Autor: | Samuele Zoppi, John S. Baras, Mikhail Vilgelm, Wolfgang Kellerer, Sandra Hirche, Touraj Soleymani |
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| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Mean squared error Computer science business.industry Estimator Approximation algorithm 020206 networking & telecommunications 02 engineering and technology Transmitter power output 020901 industrial engineering & automation Transmission (telecommunications) 0202 electrical engineering electronic engineering information engineering Wireless business Wireless sensor network Power control |
| Zdroj: | ECC |
| DOI: | 10.23919/ecc.2018.8550129 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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