Topology-based indoor localization by means of wifi fingerprinting with a computational intelligent classifier

Menendez, P.; Campomanes, C.; Trawinsky, K.; Alonso, José María

Year: 2011

Type of Publication: In Proceedings

Keywords: bagging; multi-classification; wifi localization

Editor: IEEE

Book title: 11th International conference on Intelligent System Design and Applications (ISDA)

Pages: 1020-1025

Address: Cordoba

ISBN: 978-1-4577-1675-1

Abstract:

This paper introduces a new system for people localization in indoor environments. It is mainly based on an intelligent classifier able to distinguish among a set of predefined and well identified topological locations. We adopt a WiFi signal strength fingerprint approach where most effort is done during the training phase, while online execution is fast and effective. Our proposal has been tested in a real environment with data collected in five different experimental sessions. Achieved results are encouraging since they overcome those ones provided by the well-known nearest neighbour fingerprint matching algorithm, that is usually considered as baseline for WiFi localization.