由于三峡库区水环境监测无线传感器网络的信息量大,为了减小数据传输的能量开销,构建了一种新的无线传感器网络信息融合模型,采用了一种结合基于最小二乘原理的加权和关系矩阵的分布式信息融合算法,分析了该信息融合算法的基本原理和实现方法.实验结果表明:该分布式信息融合算法能有效去除冗余信息,提高了数据的准确度,降低了节点数传的能量消耗,延长了无线传感器网络的生命周期,降低了系统成本.%In view of the large amount of information in wireless sensor networks(WSN)for Three-Gorges Reservoir Area's water environment monitoring and to save the energy of data transmission, a new WSN inofrmation fusion model was put forward with a sub-step information fusion algorithm which combined with weighting based on the principle of least squares and relation matrix. The basic principle and implementation method of the algotithm were analyzed and the experimental results verified that the sub-step information fusion algorithm effectively reduced redundant information, improved accuracy of the data, cut down energy consumption of nodes' data transmission, prolonged lifetime of WSN and lowed system cost.
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