Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap

Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap

Indoor positioning is a core enabler for various 5G identity and context-aware applications requiring precise and real-time simultaneous localisation and mapping (SLAM). In this work, we propose a K-nearest neighbours and deep neural network (K-DNN) algorithm to improve 3D indoor positioning. Our im...

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Bibliographic Details
Main Authors: Brahim El Boudani, Tasos Dagiuklas, Loizos Kanaris, Muddesar Iqbal, Christos Chrysoulas
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Electronics
Subjects:
indoor localisation
5G IoT
deep learning
machine learning
information fusion
tracking
Online Access:https://www.mdpi.com/2079-9292/12/19/4150

Internet

https://www.mdpi.com/2079-9292/12/19/4150

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