Pattern Recognition Comparative Analysis applied to Fingerprint Indoor Mobile Sensors Localization

TitlePattern Recognition Comparative Analysis applied to Fingerprint Indoor Mobile Sensors Localization
Publication TypeConference Paper
Year of Publication2010
AuthorsMartí, JV, Marín, R
Conference Name10th IEEE International Conference on computer and Information Technology (CIT 2010)
Date Published06/2010
PublisherIEEE Computer Society
Conference LocationBradford (UK)
ISBN Number978-0-7695-4108-2
KeywordsFingerprint, Location, RSSI, Transmitter, ZigBee
Abstract

Location Fingerprinting methods are an alternative to accurate localization of mobile sensors and actuators inindoor environments, which learn a radio map for a given scenario and use this information for recognizing the position of a given node at a particular moment. In fact, when using other conventional methods in complex scenarios that may present irregular geometries and materials, fingerprinting techniques can be a very good alternative. Moreover, although they need a previous training of a knowledge database for each scenario, once this is done the method runs in a quite stable and accurate manner without needing any sophisticated hardware. In this paper we present a comparation between the CC2431 Texas Instruments Location Engine and two pattern recognition methods applied to fingerprinting localization in several indoor scenarios in our university. Results show that this kind of technique is very interesting for known environments such as warehouses, universities and so on.