In this paper, we study vector parameter estimation in multiple-input multiple-output wireless-powered sensor networks (WPSNs) where sensor nodes operate by harvesting the radio frequency signals transmitted from energy access points (E-APs). We investigate a joint design of sensor data precoders, a fusion rule, and energy covariance matrices to minimize the mean square error (MSE) of the parameter estimate based on a non-linear energy harvesting model. First, we propose a centralized algorithm to solve the MSE minimization problem. Next, to reduce the computational complexity at the fusion center (FC) and feedback overhead from the sensors to the FC, we present a distributed algorithm to locally compute the precoders and the energy covariance matrices. We employ the alternating direction method of multipliers technique to minimize the MSE in a distributed manner without any coordination from the FC. In the proposed distributed algorithm, each sensor node calculates its own precoders and determines the local information of the fusion rule, and then messages are broadcast to other sensor nodes and E-APs. Simulation results demonstrate that the distributed algorithm performs close to the centralized algorithm with reduced complexity. Moreover, the proposed methods exhibit superior estimation performance over conventional techniques in WPSNs.
Bibliographical noteFunding Information:
Manuscript received February 13, 2018; accepted May 7, 2018. Date of publication May 28, 2018; date of current version August 10, 2018. This work was supported by the National Research Foundation through the Ministry of Science, ICT, and Future Planning through the Korean Government under Grant 2017R1A2B3012316. The associate editor coordinating the review of this paper and approving it for publication was R. Brown. (Corresponding author: Inkyu Lee.) N. K. D. Venkategowda and I. Lee are with the School of Electrical Engineering, Korea University, Seoul 02841, South Korea (e-mail: email@example.com; firstname.lastname@example.org).
This work was supported by the National Research Foundation through the Ministry of Science, ICT, and Future Planning through the Korean Government under Grant 2017R1A2B3012316.
© 2002-2012 IEEE.
- Distributed estimation
- Energy harvesting
- Wireless power transfer
- Wireless sensor network
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics