Data Collection Algorithm based on Correlation in Wireless Sensor Networks
Deqin Xiao · Communications technology · 2009
In consideration of the spatial and temporal redundancy and correlation in some wireless sensor networks,a novel data collection Algorithm based on correlation and weight (DCACW) is presented. Based on the aggregation tree network structure the data aggregates in the tree nodes according to the correlation of samples and the weight of nodes. The simulations results indicate that this data collection algorithm makes the degree of coverage even broader,and eliminates the spatial and temporal redundancy and correlation in the aggregation tree,ensures the variation in the ultimate sample.