【摘要】 研究基于信任抉择的WSN挑剔数据融合算法,高效高质量的数据融合是在现有数据条件下获取深度信息的重要方法。提出一种基于信任抉择的WSN挑剔数据融合算法,采用信任度作为每个传感器数据取舍和数据加权的重要判据,在信任度抉择的基础上,对不同传感器引入的野值进行剔除处理,对优良的值进行挑选处理,最终形成高质量的数据融合输出。最后采用一组星型分布的传感器对黑暗中的两个非规则亮点进行数据融合的结果测试,仿真结果显示,采用基于信任抉择的WSN挑剔数据融合算法,数据融合的结果输出质量大大提高,具有很好的使用价值。更多还原

【Abstract】 The picky data fusion algorithm for WSN with trust choice was studied.The high efficient data fusion and highquality data obtained under the conditions of the existing data was an important method to get deep information from normal situation The picky data fusion algorithm for WSN with trust choice was proposed,the trust choice was taken as the value to evaluate the data for each sensor and the data was weighted in the choice of trust,based on the processing of different values from the sensor,the wild data was give and the good data was selected to do later processing and the high-quality data was formed.Finally a star-shaped distribution of the sensors was taken as model,the irregular highlights in the dark was tested to do the data fusion,the result showed that with trust choice and picky data fusion algorithm,the outcome is greatly improved,it has good application value.更多还原