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Energies 2017, 10(5), 607; doi:10.3390/en10050607

Harvesting-Aware Energy Management for Environmental Monitoring WSN

1,‡
and
1,2,‡,*
1
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
2
Faculty of Electrical Engineering and Computer Science, VŠB-TU Ostrava, 708 33 Ostrava, Czech Republic
This paper is an extended version of our paper published in Rodway, J.; Musilek, P. Harvesting-aware energy management for environmental monitoring WSN. In Proceedings of the 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), Florence, Italy, 7–10 June 2016.
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Rodolfo Araneo
Received: 14 February 2017 / Revised: 20 April 2017 / Accepted: 21 April 2017 / Published: 1 May 2017
View Full-Text   |   Download PDF [826 KB, uploaded 1 May 2017]   |  

Abstract

Wireless sensor networks can be used to collect data in remote locations, especially when energy harvesting is used to extend the lifetime of individual nodes. However, in order to use the collected energy most effectively, its consumption must be managed. In this work, forecasts of diurnal solar energies were made based on measurements of atmospheric pressure. These forecasts were used as part of an adaptive duty cycling scheme for node level energy management. This management was realized with a fuzzy logic controller that has been tuned using differential evolution. Controllers were created using one and two days of energy forecasts, then simulated in software. These controllers outperformed a human-created reference controller by taking more measurements while using less reserve energy during the simulated period. The energy forecasts were comparable to other available methods, while the method of tuning the fuzzy controller improved overall node performance. The combination of the two is a promising method of energy management. View Full-Text
Keywords: wireless sensor networks; energy forecast; differential evolution; energy management wireless sensor networks; energy forecast; differential evolution; energy management
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Rodway, J.; Musilek, P. Harvesting-Aware Energy Management for Environmental Monitoring WSN. Energies 2017, 10, 607.

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