Analysis of MLP model on WSN localization data by using various training functions

Abstract

The usage of IEEE 802.15.4, Wireless Sensor Networks in our daily life has shown exponential growth in the past decade. Localization of wireless sensor networks is the most critical aspects of this network. One of the major models used in localization, uses Multilayered Perceptron for training its data. This paper focuses on the impact of various MLP training functions on range based localization data of WSN.