Limmanee, Athipat and Dey, Subhrakanti and Ahlén, Anders (2013) Distortion minimization via multiple sensors under energy harvesting constraints. In: 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, pp. 225-229. ISBN 9781467355773

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Abstract

We consider a wireless sensor network equipped with energy harvesting technology. It contains M sensors that observe a random process and transmit an amplified uncoded analog version of the observed signal through fading wireless channels to a remote station. The remote station, often called the fusion center, estimates the realization of the random process by using a best linear unbiased estimator. In this paper, we consider the optimal energy allocation policy that minimizes total distortion over a finite time horizon subject to energy harvesting constraints at the sensors. We focus on two types of available side information at the sensor, i.e. (1) causal side information involving the present and previous channel states and the previous values of the harvested energy and (2) full (non-causal) side information, under both finite and infinite energy storage capacity at each sensor's battery. The derivations and some structural properties of the optimal energy allocation schemes are discussed, and numerical results presented.

Item Type:	Book Section
Additional Information:	Cite as: A. Limmanee, S. Dey and A. Ahlén, "Distortion minimization via multiple sensors under energy harvesting constraints," 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013, pp. 225-229, doi: 10.1109/SPAWC.2013.6612045.
Keywords:	Distortion minimization; multiple sensors; energy harvesting constraints;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14503
Identification Number:	https://doi.org/10.1109/SPAWC.2013.6612045
Depositing User:	Subhrakanti Dey
Date Deposited:	03 Jun 2021 14:41
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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