Agent and entropy-weight based WSN data fusion
基于代理和熵权的无线传感器网络数据融合

To overcome the huge energy consumption of data fusion in the sensor network cause by nodes dense deployment, this paper proposed an agent and entropy weight-based group data fusion algorithm. The algorithm first excluded the failure nodes' effect by the similarity comparison of nodes' monitoring data. And then obtained the fusion data of nodes by the entropy weight fusion of nodes with the model of C/S in groups, using the fusion datas obtained by C/S model to replace the monitoring datas of nodes when performed next fusion process. At last, fusioned the fusion dates with the model of agent between groups. The simulation results show that the proposed algorithm can obtain the accurate data fusion result with a smaller energy cost, and effectively in reducing network latency.