Cluster-based data fusion decision method in wireless sensor networks
Jiang Ai-guo · Kongzhi yu juece · 2007
In wirless sensor networks, clustering and access sequence of sensor nodes make a great impact on energy consumption and time delay of data fusion. Therefore, a cluster-based data fusion strategy is proposed, which applies maximum entropy clustering to partition wireless sensor networks and utilizes ant colony optimization to schedule access sequence of sensor nodes inside clusters. A mobile agent fuses local information progressively within each cluster, and then finally results are obtained by central service node accomplishing a global fusion. The results of data fusion with different number of clusters are compared and then the influence of clusters on the efficiency and precision of data fusion is analyzed. Finally, the optimal result of cluster-based data fusion strategy with maximal efficiency is obtained by using the performance metric energy*time.