Tiny aggregation algorithm with outlier preprocessing simulation research
Xiaofei Yang · Jisuanji gongcheng yu sheji · 2011
According to the promble of outlier,data loss widely existed in data set,energy and computation resources constraints in wireless sensor networks,a tiny aggregation algorithm with outlier preprocessing is proposed.It is designed to deal with outlier and ag-gregate data in local cluster of hierarchical clustering networks,based on Grubbs criteria and fuzzy weighted fusion algorithm.Its’ sim-plicity and effectively to suit sensor nodes with limited resource.A real-world data set is used to verify our algorithm.The results show that its’ effective to eliminate outlier and make up impact of data loss.The accuracy of data sent to sink node are accordingly improved and energy is saved.