Development of A Wi-Fi Based Indoor Location System Using Artificial Intelligence Techniques

İsmail Kırbaş; Ayhan Dükkancı

Development of A Wi-Fi Based Indoor Location System Using Artificial Intelligence Techniques

Abstract

The main aim of this study is to resolve the problem of indoor positioning in closed areas, which has become a growing need nowadays, by using existing hardware solutions. Although the use of the GPS system, which requires satellite communication as an open space location solution, is very common, it cannot provide a solution for indoor. It is a well-known metric to measure signal strengths to determine distances between wireless nodes. However, the signal strength is affected by many external influences and causes erroneous measurements. With the developed approach, the transmission powers of the signals received from more than one transmitter located within a certain closed area are measured and given as an input to an artificial neural network. It has been seen that the outputs produced by the trained neural network are much more successful and reliable than the path-loss calculation.

Keywords

artificial intelligence , artificial neural networks , wireless sensor networks , indoor navigation , indoor radio communication

References

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Details

Primary Language

English

Subjects

Artificial Life and Complex Adaptive Systems

Journal Section

Research Article

Authors

İsmail Kırbaş ^*
Türkiye

Ayhan Dükkancı This is me
Türkiye

Publication Date

July 21, 2019

Submission Date

December 12, 2018

Acceptance Date

December 24, 2018

Published in Issue

Year 1970 Volume: 2 Number: 1

IZ

https://izlik.org/JA35XK64DY

IEEE

[1]İ. Kırbaş and A. Dükkancı, “Development of A Wi-Fi Based Indoor Location System Using Artificial Intelligence Techniques”, DataSCI, vol. 2, no. 1, pp. 8–12, July 2019, [Online]. Available: https://izlik.org/JA35XK64DY