Authors : Alexandru Marius Obretin

Volume/Issue : Volume 5 - 2020, Issue 8 - August

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Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/35DDnuz

DOI : 10.38124/IJISRT20AUG802

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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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