Error Level Data Fusion Algorithm in WSN

摘要:

文章预览

After analysis of the performance of data fusion based on virtual node algorithm (VNB-DF), design of a classification error (EG) the virtual node data fusion algorithm. The algorithm's accuracy depending on the target, set the error level, expressed through the polynomial fitting coefficients of a range of monitoring the distribution of data in memory to generate a virtual node. Experimental results show that compares with the data obtained with the cluster mean and VNB-DF algorithm, the algorithm greatly improves the accuracy of data collection, applications in types of environmental can show a good performance.

信息:

期刊:

编辑:

Li Yuan

页数:

5303-5307

DOI:

10.4028/www.scientific.net/AMR.403-408.5303

引用:

Y. Kong Yan et al., "Error Level Data Fusion Algorithm in WSN", Advanced Materials Research, Vols. 403-408, pp. 5303-5307, 2012

上线时间:

November 2011

输出:

价格:

$38.00

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