Energy-saving Data Dissemination Based on Forecast
Deyun Zhang · Jisuanji gongcheng · 2007
In order to decrease the traffic in the wireless sensor networks,a data dissemination scheme based on forecast is presented.Two matching predictors with the same parameters are deployed at the source and the sink respectively,which predict the next immediate sampling value simultaneously.The sampling value is sent to the sink only when the difference between the actual and the predicted value at the source exceeds a certain threshold.The predictors adopt the double exponential smoothing forecast model to estimate the future values based on the past samples.The experiment results show that this energy-saving data dissemination scheme is very effective,which can filter about 83% data and remain high precision yet.