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Smart Position Selection in Mobile Localisation

Authors:
Carlos Martínez de la Osa
Grigorios G. Anagnostopoulos
Michel Deriaz

Keywords: Indoor localisation; Outdoor localisation; Position selection; Heterogeneous positioning; Battery saving.

Abstract:
Which technology should be used in order to be able to locate oneself in any kind of scenario? This has been a recurrent question in the last years. It has become evident that, until now, there is no dominant indoor positioning solution based on a single technology. Outdoors, positioning systems based on satellites have given excellent results. However, a global solution for both kinds of scenarios does not exist. In our study, this problem is dealt with by creating an algorithm able to evaluate positions received from different technologies and choose the most trustworthy one. As a result, we are able to improve the overall accuracy of the user’s position estimation, compared to the ones the different technologies would have given if used independently. In this way, the user is offered a simple solution to have an accurate position in all environments, in a transparent way. The main challenge of using different technologies at the same time is usually the battery consumption. A solution for dealing with this aspect is also proposed in this document. This research has been done in the context of the Ambient Assisted Living (AAL) Enhanced Daily Living and Health (EDLAH) project, where older people can track their lost objects, which requires them to be positioned in a very accurate way.

Pages: 44 to 49

Copyright: Copyright (c) IARIA, 2015

Publication date: November 15, 2015

Published in: conference

ISSN: 2326-9286

ISBN: 978-1-61208-444-2

Location: Barcelona, Spain

Dates: from November 15, 2015 to November 20, 2015