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Research of Compressed Sensing Theory in WSN Data Fusion

机译:WSN数据融合中压缩传感理论研究

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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WSN中的重要技术,但随着范围对象传感器的扩展和复杂性增加,融合功能越来越复杂,越来越需要融合操作的能耗。因此,数据融合的能量消耗和数据传输已经无法忽略。在WSN数据融合中使用压缩感测理论,它使用自适应数据融合算法。收集和融合路线过程中的相关节点感觉数据,以保持传输的总成本和能量集成接近最小值。

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