Energy and Data Aware Clustering for Data Aggregation in Wireless Sensor Networks

Many data aggregation schemes based on kinds of clusters have been proposed for reducing energy cost in WSN by leveraging the correlation or redundancy among sensor nodes. But most of the clustering protocols are based on k-hops neighbors in spite of the data distribution over the neighbor nodes. When cluster head is selected as the representative node for all the member nodes to report aggregated data to sink, there may be significant errors due to the fluctuating data distribution within the cluster. In this paper, we propose a data-aggregation with energy and data aware cluster (DEDAC) in which the clusters are formed according to the data values of the sensor nodes instead of the neighbor relation. Simulation results show that our DEDAC can achieve more accurate aggregation data while retaining the feature of energy efficient.