DocumentCode :
2562784
Title :
A Weather-Condition Prediction Algorithm for Solar-Powered Wireless Sensor Nodes
Author :
Jiang, Zhaoting ; Jin, Xinyu ; Zhang, Yu
Author_Institution :
Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2010
fDate :
23-25 Sept. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Recently, Wireless Sensor Networks (WSNs) begin to use the solar energy. But the energy from the environment is usually unstable, An efficient solar prediction algorithm should be studied. In this paper, a novel solar energy prediction algorithm, namely Weather-Conditioned Selective Moving Average (WCSMA), is proposed by using the trend similarity of energy harvesting and the classification of sunny and cloudy days. The simulation results show that the relative mean error of WCSMA algorithm only around 10%, and it is much lower than the Exponential Weighted Moving Average (EWMA) algorithm which is widely used now.
Keywords :
atmospheric techniques; energy harvesting; solar power; weather forecasting; wireless sensor networks; energy harvesting; exponential weighted moving average algorithm; solar energy; solar prediction algorithm; solar-powered wireless sensor nodes; weather-condition prediction algorithm; weather-conditioned selective moving average; Ad hoc networks; Classification algorithms; Meteorology; Prediction algorithms; Solar energy; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
Type :
conf
DOI :
10.1109/WICOM.2010.5601116
Filename :
5601116
Link To Document :
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