Error Level Data Fusion Algorithm in WSN



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.




Li Yuan






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


November 2011




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