Knorn, Steffi and Dey, Subhrakanti and Ahlén, Anders and Quevedo, Daniel E. (2015) Multi-Sensor Estimation Using Energy Harvesting and Energy Sharing. In: 2015 IEEE International Conference on Communications (ICC). IEEE, pp. 4229-4234. ISBN 978-1-4673-6432-4

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Abstract

This paper investigates an optimal energy allocation problem for multi sensor estimation of a random source where sensors communicate their measurements to a remote fusion centre (FC) over orthogonal fading wireless channels using uncoded analog transmissions. The FC reconstructs the source using the best linear unbiased estimator (BLUE). The sensors have limited batteries but can harvest energy and also transfer energy to other sensors in the network. A distortion minimization problem over a finite-time horizon with causal and non-causal information is studied and the optimal energy allocation policy for transmission and sharing is derived. Several structural necessary conditions for optimality are presented for the two sensor problem with non-causal information and a horizon of two time steps. Numerical simulations are included to illustrate the theoretical results.

Item Type:	Book Section
Additional Information:	Cite as: S. Knorn, S. Dey, A. Ahlén and D. E. Quevedo, "Multi-sensor estimation using energy harvesting and energy sharing," 2015 IEEE International Conference on Communications (ICC), 2015, pp. 4229-4234, doi: 10.1109/ICC.2015.7248987.
Keywords:	multi-sensor estimation; energy harvesting; energy sharing; optimal energy allocation;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14535
Identification Number:	https://doi.org/10.1109/ICC.2015.7248987
Depositing User:	Subhrakanti Dey
Date Deposited:	15 Jun 2021 14:15
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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