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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Hybrid Data Fusion Method Using Bayesian Estimation and Fuzzy Cluster Analysis for WSN
verfasst von : Huilei Fu, Yun Liu, Zhenjiang Zhang, Shenghua Dai
Erschienen in: Advanced Technologies, Embedded and Multimedia for Human-centric Computing
Verlag: Springer Netherlands
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Abstract
Data fusion is the process of combining data from multiple sensors in order to minimize the amount of data and get an accurate estimation of the true value. The uncertainties in data fusion are mainly caused by two aspects, device noise and spurious measurement. This paper proposes a new fusion method considering these two aspects. This method consists of two steps. First, using fuzzy cluster analysis, the spurious data can be detected and separated from fusion automatically. Second, using Bayesian estimation, the fusion result is got. The superiorities of this method are the accuracy of the fusion result and the adaptability for occasions.