Harvesting-Aware Energy Management for Environmental Monitoring WSN†
AbstractWireless 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
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Rodway, J.; Musilek, P. Harvesting-Aware Energy Management for Environmental Monitoring WSN. Energies 2017, 10, 607.
Rodway J, Musilek P. Harvesting-Aware Energy Management for Environmental Monitoring WSN. Energies. 2017; 10(5):607.Chicago/Turabian Style
Rodway, James; Musilek, Petr. 2017. "Harvesting-Aware Energy Management for Environmental Monitoring WSN." Energies 10, no. 5: 607.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.