Title :
Analysis of MLP model on WSN localization data by using various training functions
Author :
Mahapatra, Cosmena
Author_Institution :
MCA Dept., Vivekananda Inst. of Prof. Studies, New Delhi, India
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.
Keywords :
Zigbee; multilayer perceptrons; telecommunication computing; wireless sensor networks; IEEE 802.15.4; MLP; WSN localization data; multilayered perceptron; range based localization data; training functions; wireless sensor network localization data; Analytical models; Backpropagation; Data models; Mathematical model; Neurons; Training; Wireless sensor networks; Localization; MLP; Neural Networks; Training algorithms; Trainrp; Trainscg; WSN;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-93-80544-10-6
DOI :
10.1109/IndiaCom.2014.6828137
