A Performance Evaluation of Solar Energy Prediction Approaches for Energy-Harvesting Wireless Sensor Networks
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
PLUSBASE AKADEMİ ORGANİZASYON VE DANIŞMANLIK
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Engineering, Mühendislik
Kaynak
International Journal of Applied Mathematics Electronics and Computers
International Journal of Applied Mathematics Electronics and Computers
International Journal of Applied Mathematics Electronics and Computers
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Special Issue-1
