Wireless sensor network data fusion based on time period
Zhao Zhi-gang · Journal of Shenyang Normal University · 2013
Since the energy of sensors is limited in wireless sensor networks,it is an important problem that how to save energy and extend the life of sensors.As one of the key technologies,data fusion could reduce the amount of data uploaded,improve data accuracy,and save energy.Studying the data sensors collected,we found that the data is periodic,thus we proposed data fusion algorithm based on time period.In the data fusion algorithm,we use Lagrange interpolation method to predict future data.To detect forecast data,we set threshold value.Because outdoor temperature data meets the conditions,we use Shenyang summer temperature data for sample,and we use matlab simulation experiment to verify the algorithm.Experimental results show that the algorithm reduces the amount of data uploaded,save the energy of the node,and extend the life of network.