Harvested Energy Prediction Schemes for Wireless Sensor Networks: Performance Evaluation and Enhancements
Joint Authors
Muhammad, Petros
Qureshi, Hassaan Khaliq
Saleem, Umber
Saleem, Muhammad
Pitsillides, Andreas
Lestas, Marios
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-24
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
We review harvested energy prediction schemes to be used in wireless sensor networks and explore the relative merits of landmark solutions.
We propose enhancements to the well-known Profile-Energy (Pro-Energy) model, the so-called Improved Profile-Energy (IPro-Energy), and compare its performance with Accurate Solar Irradiance Prediction Model (ASIM), Pro-Energy, and Weather Conditioned Moving Average (WCMA).
The performance metrics considered are the prediction accuracy and the execution time which measure the implementation complexity.
In addition, the effectiveness of the considered models, when integrated in an energy management scheme, is also investigated in terms of the achieved throughput and the energy consumption.
Both solar irradiance and wind power datasets are used for the evaluation study.
Our results indicate that the proposed IPro-Energy scheme outperforms the other candidate models in terms of the prediction accuracy achieved by up to 78% for short term predictions and 50% for medium term prediction horizons.
For long term predictions, its prediction accuracy is comparable to the Pro-Energy model but outperforms the other models by up to 64%.
In addition, the IPro scheme is able to achieve the highest throughput when integrated in the developed energy management scheme.
Finally, the ASIM scheme reports the smallest implementation complexity.
American Psychological Association (APA)
Muhammad, Petros& Qureshi, Hassaan Khaliq& Saleem, Umber& Saleem, Muhammad& Pitsillides, Andreas& Lestas, Marios. 2017. Harvested Energy Prediction Schemes for Wireless Sensor Networks: Performance Evaluation and Enhancements. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1206111
Modern Language Association (MLA)
Muhammad, Petros…[et al.]. Harvested Energy Prediction Schemes for Wireless Sensor Networks: Performance Evaluation and Enhancements. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1206111
American Medical Association (AMA)
Muhammad, Petros& Qureshi, Hassaan Khaliq& Saleem, Umber& Saleem, Muhammad& Pitsillides, Andreas& Lestas, Marios. Harvested Energy Prediction Schemes for Wireless Sensor Networks: Performance Evaluation and Enhancements. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1206111
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206111