Robust Access Points Selection Strategies for Dynamic Indoor Localization

AB Mazlan, YH Ng - IEEE Access, 2024 - ieeexplore.ieee.org
The proliferation of mobile devices has fueled the demand for indoor location-based
services. Consequently, a plethora of techniques have emerged to facilitate object and …

Robust 3D indoor positioning system based on radio map using Bayesian network

A Alhammadi, S Alraih, F Hashim… - 2019 IEEE 5th world …, 2019 - ieeexplore.ieee.org
Indoor positioning remains a serious issue due to the difficulty in attaining sufficient accuracy
within an indoor environment using tracking technology of low complexity. Currently, most …

Depthwise separable convolution based passive indoor localization using CSI fingerprint

W Xun, L Sun, C Han, Z Lin… - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Wi-Fi-based indoor localization has received extensive attention in the academic
community. However, most WiFi-based indoor localization systems have complex models …

Low-cost BLE based indoor localization using RSSI fingerprinting and machine learning

C Jain, GVS Sashank… - 2021 sixth international …, 2021 - ieeexplore.ieee.org
With the IoT industry undergoing a boom, Location Based Services (LBSs) are playing an
essential role in constructing smart cities. Since LBSs are in the process of being ubiquitous …

[HTML][HTML] A robust and accurate indoor localization using learning-based fusion of Wi-Fi RTT and RSSI

H Rizk, A Elmogy, H Yamaguchi - Sensors, 2022 - mdpi.com
Great attention has been paid to indoor localization due to its wide range of associated
applications and services. Fingerprinting and time-based localization techniques are among …

Novel LSTM-Based Approaches for Enhancing Outdoor Localization Accuracy in 4G Networks

T Abubakr, OA Nasr - IEEE Access, 2023 - ieeexplore.ieee.org
Fingerprint localization using neural networks is emerging as the state-of-the-art technique
for outdoor localization using mobile network features. In this paper, we introduce two …

Optimization and evaluation of multidetector deep neural network for high-accuracy Wi-Fi fingerprint positioning

CY Chen, I Alexander, C Lai, PY Wu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
To fulfill the need for high-accuracy indoor positioning in many location-based services
(LBSs) and the emerging Internet of Things (IoT) applications, in this article, we propose a …

UWB-based single-anchor indoor localization using reflected multipath components

H Mohammadmoradi, M Heydariaan… - 2019 International …, 2019 - ieeexplore.ieee.org
Indoor localization has many applications in the context of smart buildings that interact with
objects and humans. Due to their resilience to multipath fading, high penetration rate and …

High-accuracy WiFi-based 3D indoor positioning using non-uniform planar array

W Wu, B Yang, H Yu, H Wang - 2021 IEEE MTT-S International …, 2021 - ieeexplore.ieee.org
With the development of mobile communication technology, location information has
become more and more important for various services. Using a non-uniform planar array …

A novel convolutional neural network based indoor localization framework with WiFi fingerprinting

X Song, X Fan, C Xiang, Q Ye, L Liu, Z Wang… - IEEE …, 2019 - ieeexplore.ieee.org
With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …