Wireless sensor data fusion algorithm on base of regression model
Pan Ha · Journal of Shenyang Normal University · 2014
As the most influential technology in the 21century,wireless sensor network technology has gained more and more attention.However,the energy of wireless sensor is the core issue which has restricted the development of wireless sensor network technology.The energy of wireless network is quite limited due to its characteristics.Therefore,in order to extend the service life,people need to decrease energy consumption as much as possible.The authors start this subject by studying the data collected by the wireless sensor nodes,then find out some potential laws by analyzing the periodic data,thus choosing a current regression model for the prediction of the next period.If the data collected in the next acquisition cycle match with the predicted laws,it will be unnecessary to upload data to the sink-node.As a consequence, it will reduce the quantity of data transmission and save the energy.The data fusion algorithm of wireless sensor based on the regression model uses the temperature data of Shenyang as a sample.This subject has tested the algorithm by performing simulation experiment.The result of the test shows that the algorithm can reduce the quantity of data transmission,save the energy of node,and extend the lifetime of network.