Authors :
Alexandru Marius Obretin
Volume/Issue :
Volume 5 - 2020, Issue 8 - August
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/35DDnuz
DOI :
10.38124/IJISRT20AUG802
Abstract :
This paper is providing an in-detail analysis
of existing mobile based software solutions for indoor
localization and identifies several issues to be tackled.
The objective this research initiative is assuming is to
provide an alternative approach for traditional sensorbased applications, an alternative that behaves better in
terms of resource consumption, maintenance costs and
degree of generality. The principles hereby described
have been integrated into a web application that has
been tested in two different environments, providing
indoor localization accuracy under a meter
Keywords :
Signal Processing; Data; Information Systems
This paper is providing an in-detail analysis
of existing mobile based software solutions for indoor
localization and identifies several issues to be tackled.
The objective this research initiative is assuming is to
provide an alternative approach for traditional sensorbased applications, an alternative that behaves better in
terms of resource consumption, maintenance costs and
degree of generality. The principles hereby described
have been integrated into a web application that has
been tested in two different environments, providing
indoor localization accuracy under a meter
Keywords :
Signal Processing; Data; Information Systems
