Research of Compressed Sensing Theory in WSN Data Fusion

Li Li, Jian Li
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引用次数: 12

Abstract

Data fusion is an important technology in WSN, But with the expansion of the scope object sensor and complexity increase, the fusion function is more and more complex, Energy consumption of the fusion operation is required more and more. Therefore, the energy consumption of the data fusion and the data transmission has been can't ignored already. Using the compressive sensing theory in the WSN data fusion, It's using auto-adapted data fusion algorithm. Collect and fusion the correlation node sensation data in the route process, To keep the total cost of the transmission and integration of energy close to the minimum.
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压缩感知理论在WSN数据融合中的研究
数据融合是WSN中的一项重要技术,但随着目标传感器范围的扩大和复杂度的增加,融合功能越来越复杂,对融合运算的能耗要求越来越高。因此,数据融合和数据传输的能耗已经不容忽视。将压缩感知理论应用于无线传感器网络的数据融合中,采用自适应数据融合算法。采集和融合路径过程中相关节点的感知数据,使能量传输和积分的总成本接近最小。
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