Indoor Navigation System using Fingerprinting

Indoor Navigation System using Fingerprinting
Authors : Habib Mohammed Hussien, Abraham . K, Abel D. , Amanuel W., Gebremikael T., Michaele G.
Publication Date: 16-08-2017


Author(s):  Habib Mohammed Hussien, Abraham . K, Abel D. , Amanuel W., Gebremikael T., Michaele G.

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 08 , August - 2017

e-ISSN:   2278-0181


The increasing demand for accurate and affordable indoor positioning has caused the increase in research to achieve it. Although Global Satellite Positioning Systems have acceptable accuracy outdoors, they do not have acceptable accuracy indoors. This led to researchers exploring different systems for indoor positioning. This paper implements an indoor navigation system using fingerprinting. It compares the accuracy of the deterministic kNN algorithm and probabilistic Naïve Bayes algorithm for positioning. We also develop a database table that can be used to give directions. A variant of the Dijkstra’s shortest path algorithm is used to find nodes on the shortest path from a source node to a destination node on a server. The source node is determined by using the positioning system developed and the destination node is inputted by the user.


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