An Innovative Approach to Improve Point Location Detection System with ANFIS using RSSI Signals and Fingerprinting Method
Öz
Anahtar Kelimeler
Kaynakça
- Vanneschi L., Silva S. 2023. Lectures on Intelligent Systems. 1st edition. Springer Nature. Switzerland, 349s.
- Xiao Q. 2023. A review: Wireless sensor network location. Journal of Physics, 2580(1), 1-7.
- Brena RF, García-Vázquez JP, Galván-Tejada CE, Muñoz-Rodriguez D, Vargas-Rosales C, Fangmeyer J. 2017. Evolution of Indoor Positioning Technologies: A Survey. Journal of Sensors, 2017(1), 1-21.
- Frattasi S, Rosa FD. 2017. Mobile Positioning and Tracking: From Conventional to Cooperative Techniques. 2nd edition, John Wiley & Sons. New York, USA, 416s.
- Zandian R. 2019. Ultra-wideband Based Indoor Localization of Mobile Nodes in ToA and TDoA Configurations. Universität Bielefeld, PhD Thesis, 255s, Biefeld.
- Dziubany M, Machhamer R, Laux H, Schmeink A, Gollmer KU, Burger G, Dartmann G. 2018. Machine Learning Based Indoor Localization Using a Representative k-Nearest-Neighbor Classifier on a Low-Cost IoT-Hardware. 26th European Signal Processing Conference, Rome, Italy.
- Bai YB. 2016. Development of a WiFi and RFID based indoor location and mobility tracking system. Royal Melbourne Institute of Technology, PhD Thesis, 233s, Melbourne Australia.
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Bağlam Öğrenimi, Nöral Ağlar, Makine Öğrenme (Diğer)
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
30 Nisan 2024
Yayımlanma Tarihi
30 Nisan 2024
Gönderilme Tarihi
16 Nisan 2024
Kabul Tarihi
23 Nisan 2024
Yayımlandığı Sayı
Yıl 2024 Cilt: 40 Sayı: 1