Abstract
Energy consumption problem and redundant data processing have become cause for concern in wireless sensor networks. In the article, a parameter estimation method based on temporal-spatial data fusion technology is proposed to reduce huge amounts of data transmission, reduce the node energy consumption, and increase network life cycle. Because of the layout of sensors, monitoring values will be different at different times in different places. Traditionally, though arithmetic average method has some anti-interference ability, there are many shortcomings in the accuracy of measurement. The proposed method can get drastically more accurate and reliable monitoring results in improving quality control of cold chain.
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