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Studies on the Data Fusion within Wireless Sensor Network (WSN) Based on Adaptive Weighting Algorithm

机译:基于自适应加权算法的无线传感器网络(WSN)中数据融合的研究

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摘要

Data fusion technology serves as one of the key techniques in WSN. In this paper, a novel data fusion algorithm based on the adaptive weighting algorithm was proposed. It can be used to calculate respective weighting coefficients with data measured by sensors without prior knowledge of sensor nodes and can timely regulate the influence of each sensor on final data fusion. According to the experiment and test, the accuracy and' fault tolerance of the proposed algorithm had been validated by Matlab simulation.
机译:数据融合技术是WSN中的关键技术之一。本文提出了一种基于自适应加权算法的新型数据融合算法。它可用于计算通过传感器测量的数据而没有传感器节点的先验知识的数据来计算各自的加权系数,并且可以及时调节每个传感器对最终数据融合的影响。根据实验和测试,Matlab仿真验证了所提出的算法的准确性和'容错。

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