Outlier Time Series Detection Based on WSN
Xuejun Liu · Chuangan jishu xuebao · 2013
Outliers are very common in the environmental data monitored by a sensor network.An interesting problem which has not been adequately addressed so far is the detection of outlier time series.In order to meet the need of rapid outlier detection for large-scale data sets,this paper provides a new outlier time series detection in WSN.The algorithm introduces Chebyshev polynomials to detect the outlier data.The algorithm was verified by NS2 simulator.Simulator results demonstrate that this algorithm keeps a high precision.