其他摘要：In this paper, the advantages and detects of routing and data fusion algorithm are analyzed, and a new method based on n-average value of split is proposed. By using data viscosity, this algorithm could not only sense the changing of environment, but also find the abnormal change. Using the advantages of semi-static clustering in managing sensor nodes, the efficiency of routing is obviously improved, and the energy consumption is more balanced. At last, a series of experiments are designed to prove the performance of this algorithm, and based on the experiment results, the ef-ficiency in data filtering and prolonging networks’ lifetime is analyzed.
关键词：无线传感器网络 ; 数据融合 ; 半静态聚簇路由 ; 加权移动平均 ; WSNs ; Data Aggregation ; Data Fusion ; Routing by Semi-Static Clustering ; Weight Moving Average
其他关键词：无线传感器网络 ; 数据融合 ; 半静态聚簇路由 ; 加权移动平均 ; WSNs ; Data Aggregation ; Data Fusion ; Routing by Semi-Static Clustering ; Weight Moving Average
