A Weather-Condition Prediction Algorithm for Solar-Powered Wireless Sensor Nodes

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.

[1]  A. Zeroual,et al.  Prediction of daily global solar radiation using fuzzy systems , 2007 .

[2]  J. Stuart Hunter,et al.  The exponentially weighted moving average , 1986 .

[3]  Mani B. Srivastava,et al.  Power management in energy harvesting sensor networks , 2007, TECS.

[4]  Tajana Simunic,et al.  Active sensing platform for wireless structural health monitoring , 2007, IPSN.

[5]  H. Suehrcke,et al.  A performance prediction method for solar energy systems , 1992 .

[6]  David Atienza,et al.  Prediction and management in energy harvested wireless sensor nodes , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[7]  Mani B. Srivastava,et al.  Design considerations for solar energy harvesting wireless embedded systems , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[8]  Jan M. Rabaey,et al.  Energy aware routing for low energy ad hoc sensor networks , 2002, 2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609).

[9]  D. Cox.  Prediction by Exponentially Weighted Moving Averages and Related Methods , 1961 .

[10]  Andrew G. Barto,et al.  Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks , 2007, 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.