Next Article in Journal
A Two-Stage Reconstruction Processor for Human Detection in Compressive Sensing CMOS Radar
Next Article in Special Issue
Sigma Routing Metric for RPL Protocol
Previous Article in Journal
A Lightweight Continuous Authentication Protocol for the Internet of Things
Previous Article in Special Issue
A Data-Gathering Scheme with Joint Routing and Compressive Sensing Based on Modified Diffusion Wavelets in Wireless Sensor Networks
Article

Adaptive LINE-P: An Adaptive Linear Energy Prediction Model for Wireless Sensor Network Nodes

1
Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Tallinn 12616, Estonia
2
Department of Cybernetics, Tallinn University of Technology, Tallinn 12616, Estonia
*
Authors to whom correspondence should be addressed.
Sensors 2018, 18(4), 1105; https://doi.org/10.3390/s18041105
Received: 15 February 2018 / Revised: 29 March 2018 / Accepted: 29 March 2018 / Published: 5 April 2018
In the context of wireless sensor networks, energy prediction models are increasingly useful tools that can facilitate the power management of the wireless sensor network (WSN) nodes. However, most of the existing models suffer from the so-called fixed weighting parameter, which limits their applicability when it comes to, e.g., solar energy harvesters with varying characteristics. Thus, in this article we propose the Adaptive LINE-P (all cases) model that calculates adaptive weighting parameters based on the stored energy profiles. Furthermore, we also present a profile compression method to reduce the memory requirements. To determine the performance of our proposed model, we have used real data for the solar and wind energy profiles. The simulation results show that our model achieves 90–94% accuracy and that the compressed method reduces memory overheads by 50% as compared to state-of-the-art models. View Full-Text
Keywords: WSN; energy harvesting; energy prediction WSN; energy harvesting; energy prediction
Show Figures

Figure 1

MDPI and ACS Style

Ahmed, F.; Tamberg, G.; Le Moullec, Y.; Annus, P. Adaptive LINE-P: An Adaptive Linear Energy Prediction Model for Wireless Sensor Network Nodes. Sensors 2018, 18, 1105. https://doi.org/10.3390/s18041105

AMA Style

Ahmed F, Tamberg G, Le Moullec Y, Annus P. Adaptive LINE-P: An Adaptive Linear Energy Prediction Model for Wireless Sensor Network Nodes. Sensors. 2018; 18(4):1105. https://doi.org/10.3390/s18041105

Chicago/Turabian Style

Ahmed, Faisal, Gert Tamberg, Yannick Le Moullec, and Paul Annus. 2018. "Adaptive LINE-P: An Adaptive Linear Energy Prediction Model for Wireless Sensor Network Nodes" Sensors 18, no. 4: 1105. https://doi.org/10.3390/s18041105

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop