The nonparametric Bayesian dictionary learning based interpolation method for WSNs missing data

On semantic clustering and adaptive robust regression based energy-aware communication with true outliers detection in WSN

“…Thus the REWLS based prediction method has achieved 7% to 11.3% improvement in data reduction compared with the existing algorithms. Now, we evaluate the data prediction accuracy of all algorithms by measuring the Root Mean Square Error (RMSE) [31]. RMSE measures the average deviation of the predicted values from the actual sensed data and is calculated as given in equation (11).…”