A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks

Selahattin Koşunalp

doi:10.18100/ijamec.266963

Araştırma Makalesi

A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks

Yıl 2016, Special Issue (2016), 424 - 427, 01.12.2016

Selahattin Koşunalp

Öz

Energy harvesting from the surrounding environment has been a superior
way of eliminating the burden of having to replace depleted batteries in
wireless sensor networks (WSNs), thereby achieving a perpetual lifetime.
However, the ambient energy is highly time-variable and depends on the
environmental conditions, which raises the need to design new approaches for
predicting future energy availability. This paper presents a performance evaluation and
comparison of three recently-proposed solar energy prediction algorithms for
WSNs. In order to provide an accurate performance of the algorithms, real-world
measurements obtained from a solar panel were considered. Also, the performance
characteristics of the algorithms in four seasons –winter, spring, summer and
autumn – were demonstrated. To do this, a month in each season was selected for
performance comparison, discussing the performance of the algorithms in each
season.

Anahtar Kelimeler

Wireless sensor networks, Energy harvesting

Kaynakça

S. Kosunalp, “MAC protocols for energy harvesting wireless sensor networks: survey”, ETRI Journal, vol. 37, pp. 804-812, 2015.
S. Kosunalp, “EH-TDMA: A TDMA-based MAC Protocol for Energy Harvesting Wireless Sensor Networks”, International Journal of Computer Science and Information Security, 14(8), pp. 325-328, 2016..
S. Kosunalp, “A New Energy Prediction Algorithm for Energy-Harvesting Wireless Sensor Networks with Q-Learning,” IEEE Access, 4, pp. 5755-5763, 2016.

Yıl 2016, Special Issue (2016), 424 - 427, 01.12.2016

Selahattin Koşunalp

Öz

Kaynakça

S. Kosunalp, “MAC protocols for energy harvesting wireless sensor networks: survey”, ETRI Journal, vol. 37, pp. 804-812, 2015.
S. Kosunalp, “EH-TDMA: A TDMA-based MAC Protocol for Energy Harvesting Wireless Sensor Networks”, International Journal of Computer Science and Information Security, 14(8), pp. 325-328, 2016..
S. Kosunalp, “A New Energy Prediction Algorithm for Energy-Harvesting Wireless Sensor Networks with Q-Learning,” IEEE Access, 4, pp. 5755-5763, 2016.

Toplam 3 adet kaynakça vardır.

Ayrıntılar

Konular	Mühendislik
Bölüm	Research Article
Yazarlar	Selahattin Koşunalp
Yayımlanma Tarihi	1 Aralık 2016
Yayımlandığı Sayı	Yıl 2016 Special Issue (2016)

Kaynak Göster

APA	Koşunalp, S. (2016). A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks. International Journal of Applied Mathematics Electronics and Computers(Special Issue-1), 424-427. https://doi.org/10.18100/ijamec.266963
AMA	Koşunalp S. A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks. International Journal of Applied Mathematics Electronics and Computers. Aralık 2016;(Special Issue-1):424-427. doi:10.18100/ijamec.266963
Chicago	Koşunalp, Selahattin. “A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks”. International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1 (Aralık 2016): 424-27. https://doi.org/10.18100/ijamec.266963.
EndNote	Koşunalp S (01 Aralık 2016) A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 424–427.
IEEE	S. Koşunalp, “A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks”, International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1, ss. 424–427, Aralık 2016, doi: 10.18100/ijamec.266963.
ISNAD	Koşunalp, Selahattin. “A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks”. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 (Aralık 2016), 424-427. https://doi.org/10.18100/ijamec.266963.
JAMA	Koşunalp S. A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks. International Journal of Applied Mathematics Electronics and Computers. 2016;:424–427.
MLA	Koşunalp, Selahattin. “A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks”. International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1, 2016, ss. 424-7, doi:10.18100/ijamec.266963.
Vancouver	Koşunalp S. A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks. International Journal of Applied Mathematics Electronics and Computers. 2016(Special Issue-1):424-7.