2018 European Control Conference (ECC) 2018
DOI: 10.23919/ecc.2018.8550129
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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 pr… Show more

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Cited by 5 publications
(3 citation statements)
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“…Initially, the trade-off between transmission power and packet loss for remote state estimation of a single-sensor has been studied in [5]- [10]. Solutions are presented for a noiseless sensor [5], and for noisy measurements where the transmission power policy is computed offline [6]- [8], online [9], and in combination with an energy harvester [10].…”
Section: A Related Workmentioning
confidence: 99%
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“…Initially, the trade-off between transmission power and packet loss for remote state estimation of a single-sensor has been studied in [5]- [10]. Solutions are presented for a noiseless sensor [5], and for noisy measurements where the transmission power policy is computed offline [6]- [8], online [9], and in combination with an energy harvester [10].…”
Section: A Related Workmentioning
confidence: 99%
“…where Θ k,ℓ ≻ 0 is a weighting matrix and xk,ℓ is the best state estimate given the information set I k,ℓ . As shown in [8], the conditional expected value of the state is the minimizer of the mean square error for the system in ( 15) and ( 16) over the one-step delay packet-erasure channel with arrival process specified by (6). Hence, we can obtain…”
Section: B Dynamical Systems and Remote State Estimationmentioning
confidence: 99%
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