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J. Sens. Actuator Netw. 2014, 3(3), 207-223; doi:10.3390/jsan3030207

On the Modeling of Solar-Powered Wireless Sensor Nodes

Department of Electronics Design, Mid Sweden University, Holmgatan 10, Sundsvall SE-85 170, Sweden
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Received: 4 June 2014 / Revised: 26 June 2014 / Accepted: 14 July 2014 / Published: 4 August 2014
(This article belongs to the Special Issue Environmental Wireless Sensor Networks)
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Abstract

Solar energy harvesting allows for wireless sensor networks to be operated over extended periods of time. In order to select an appropriate harvesting architecture and dimension for its components, an effective method for the comparison of system implementations is required. System simulations have the capability to accomplish this in an accurate and efficient manner. In this paper, we evaluate the existing work on solar energy harvesting architectures and common methods for their modeling. An analysis of the existing approaches demonstrates a mismatch between the requirement of the task to be both accurate and efficient and the proposed modeling methods, which are either accurate or efficient. As a result, we propose a data-driven modeling method based on artificial neural networks for further evaluation by the research community. Preliminary results of an initial investigation demonstrate the capability of this method to accurately capture the behavior of a solar energy harvesting architecture, while providing a time-efficient model generation procedure based on system-level data.
Keywords: wireless sensor networks; sensor node lifetime; solar energy harvesting; modeling; simulation; system dimensioning wireless sensor networks; sensor node lifetime; solar energy harvesting; modeling; simulation; system dimensioning
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Bader, S.; Ma, X.; Oelmann, B. On the Modeling of Solar-Powered Wireless Sensor Nodes. J. Sens. Actuator Netw. 2014, 3, 207-223.

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