Title :
Modular Multilayer Perceptron for WLAN Based Localization
Author :
Ahmad, Uzair ; Gavrilov, Andrey ; Lee, Sungyoung ; Lee, Young-Koo
Author_Institution :
Kyung Hee Univ., Seoul
Abstract :
Location awareness is key capability of context-aware Ubiquitous environments. Received signal strength (RSS) based localization is increasingly popular choice especially for in-building scenarios after pervasive adoption of IEEE 802.11 wireless LAN. Fundamental requirement of such localization systems is to estimate location from RSS at a particular location. Multipath propagation effects make RSS to fluctuate in unpredictable manner, introducing uncertainty in location estimation. Moreover, in real life situations RSS values are not available at some locations all the time making the problem more difficult. We employ modular multi layer perceptron (MMLP) approach to effectively reduce the uncertainty in location estimation system. It provides better location estimation results than other approaches and systematically caters for unavailable signals at estimation time.
Keywords :
mobile computing; multilayer perceptrons; wireless LAN; IEEE 802.11 wireless LAN; context-aware ubiquitous environment; location awareness; location estimation system; modular multilayer perceptron; received signal strength based localization; Artificial neural networks; Calibration; Context awareness; Mobile radio mobility management; Multilayer perceptrons; Neural networks; Pervasive computing; Ubiquitous computing; Uncertainty; Wireless LAN; Artificial Neural Networks; Location Aware Computing; Pattern Recognition;
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
DOI :
10.1109/IJCNN.2006.247351
