proposed an optimized ML ensemble model for (i) identifying the critical network parameters for node localization when setting … localization error of wireless sensor networks. We used the random forest algorithm with optimized hyperparameters from different … optimization techniques to predict average localization error (ALE) using independent features like node density, anchor ratio …

)-based localization methods, which are subsequently adapted for inventory applications. An experimental setup is developed to characterize …