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AI based Location Tracking in WiFi Indoor Positioning Application
ردیابی موقعیت مکانی مبتنی بر هوش مصنوعی در برنامه موقعیت یابی داخلی WiFi-2020 As the 4th Industrial Revolution proceeds,
AI(Artificial Intelligence), IoT (Internet of Things), and big data
are getting great attention from people. The most efficient
application of the above three technologies is navigation
technology. However, indoor navigation accuracy is not very
accurate due to the many obstacles and walls in the indoor
environment. Therefore, in this paper, we propose indoor
location tracking technology based on WiFi(Wireless-Fidelity)
communication to improve users location accuracy using
mobile communication technology and location tracking
technology. First, the fingerprinting technique is used to
establish a fingerprinting database by measuring the RSSI
values for each sample point in the offline step. Afterwards, the
users location is tracked using a weighted fuzzy matching
algorithm with the measured users RSSI value and the value of
the database. Then apply the PSO algorithm to further improve
the accuracy of user location tracking. According to the
simulation results, it can be seen that tracking using the PSO
algorithm further improves the accuracy of user location over
no PSO in WiFI based indoor environment. Keywords: AI | Indoor Positioning | Weighted Fuzzy Matching | PSO | Fingerprinting |
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