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Research of Compressed Sensing Theory in WSN Data Fusion

机译:WSN数据融合中的压缩感知理论研究

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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.
机译:数据融合是无线传感器网络中的一项重要技术,但是随着范围目标传感器的扩展和复杂性的增加,融合功能越来越复杂,融合操作的能耗越来越高。因此,数据融合和数据传输的能耗已经不容忽视。在WSN数据融合中使用压缩感知理论,它是在自适应数据融合算法中使用的。在路由过程中收集并融合相关节点的感知数据,以使能量的传输和整合的总成本保持在最低水平。

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