A low power framework for WLAN indoor positioning system

Authors:
Sebastian Fuicu;Marius Marcu;Bogdan Stratulat;Iulia Stratulat;Anania Girban
Affiliations:
Computer Science and Engineering Department, "Politehnica" University of Timisoara, Timisoara, Romania;Computer Science and Engineering Department, "Politehnica" University of Timisoara, Timisoara, Romania;Computer Science and Engineering Department, "Politehnica" University of Timisoara, Timisoara, Romania;Computer Science and Engineering Department, "Politehnica" University of Timisoara, Timisoara, Romania;Mathematics Department, "Politehnica" University of Timisoara, Timisoara, Romania
Venue:
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Year:
2009

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Abstract

One of the most significant elements of context-awareness in ubiquitous environments is mobile device localization. To obtain the accurate location information for indoor environments is a challenging problem. There have been a number of attempts to design systems for indoor localization using different wireless sensing techniques. Signal strength (SS) approaches are easy to implement in the existing technologies in mobile devices. In this field there are two main categories of signal strength (SS) based techniques for positioning using WLAN: "trilateration" and "location fingerprint". We want to propose a method based on some kind of trilateration scheme with a simply and clearly mathematical model. After that we suggest an experimental software framework which includes this scheme. The experimental results show that the proposed solution is quite robust and gives accurate localization results.