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