Context-Aware Fuzzy ArtMap for Received Signal Strength Based Location Systems

Author

Ahmed, Uzair ; Gavrilov, Andrey ; Lee, Sungyoung ; Lee, Young-Koo

Author_Institution

Kyung Hee Univ., Seoul

fYear

2007

fDate

12-17 Aug. 2007

Firstpage

2740

Lastpage

2745

Abstract

Received signal strength (RSS) based location systems are potential candidates to enable indoor location aware services due to pervasively available wireless local area networks and hand held devices. Intrinsically RSS based positioning is a multi-class pattern recognition problem. Previous researches have shown that Visibility Matrix based approach of modular classifiers improves location accuracy but costs longer periods of training and testing in development life cycle. We present a context-aware fuzzy ArtMap neural network that provides competitive location accuracy in comparison with modular approach while leveraging online and incremental learning capabilities to location system development life cycle.

Keywords

fuzzy neural nets; indoor radio; learning (artificial intelligence); matrix algebra; mobile computing; mobility management (mobile radio); signal classification; telecommunication computing; wireless LAN; context-aware classifier; context-aware fuzzy ArtMap neural network; indoor location aware services; location system development life cycle; multiclass pattern recognition; online-incremental learning; received signal strength; visibility matrix; wireless local area network; Databases; Fuzzy neural networks; Fuzzy systems; Global Positioning System; Large-scale systems; Mobile radio mobility management; Nearest neighbor searches; Neural networks; Pattern recognition; Wireless LAN;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2007. IJCNN 2007. International Joint Conference on

Conference_Location

Orlando, FL

ISSN

1098-7576

Print_ISBN

978-1-4244-1379-9

Electronic_ISBN

1098-7576

Type

conf

DOI

10.1109/IJCNN.2007.4371392

Filename

4371392