Fuzzy-Based Wi-Fi Localization with High Accuracy using Fingerprinting

Author's Department

Electronics & Communications Engineering Department

Second Author's Department

Electronics & Communications Engineering Department

Third Author's Department

Electronics & Communications Engineering Department

Fourth Author's Department

Electronics & Communications Engineering Department

Fifth Author's Department

Electronics & Communications Engineering Department

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https://www.inderscience.com/info/inarticle.php?artid=88330

All Authors

Michael Ibrahim; Tarek Nabil; Hassan H. Halawa; Hany M. ElSayed; Ramez M. Daoud; Hassanein H. Amer; Mohamed Ismail; Mostafa Wahish; Mohamed Ibrahim

Document Type

Research Article

Publication Title

International Journal of Systems, Control and Communications IJSCC

Publication Date

1-1-2018

doi

10.1504/IJSCC.2018.088330

Abstract

In this paper, a localisation system based on Wi-Fi fingerprinting and fuzzy data analysis is presented. Three localisation techniques were used, Euclidean distance, K-nearest neighbours (KNN), and weighted K-nearest neighbours (WKNN), to get three independent estimations of a user's location. Then fuzzy analysis is used to combine the three estimates to achieve highly-accurate localisation. Two experiments were conducted in order to test the proposed new technique and compare it to the traditional fingerprinting techniques present in the literature. The results of the experiments proved that the proposed technique outperforms the traditional techniques.

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