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On the Modeling of Solar-Powered Wireless Sensor Nodes
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0002-8382-0359
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2014 (English)In: Journal of Sensor and Actuator Networks, ISSN 2224-2708, Vol. 3, no 3, 207-223 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2014. Vol. 3, no 3, 207-223 p.
Keyword [en]
wireless sensor networks; sensor node lifetime; solar energy harvesting; modeling; simulation; system dimensioning
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:miun:diva-23381DOI: 10.3390/jsan3030207OAI: oai:DiVA.org:miun-23381DiVA: diva2:761577
Available from: 2014-11-07 Created: 2014-11-07 Last updated: 2016-10-24Bibliographically approved

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Bader, SebastianMa, XinyuOelmann, Bengt
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