[HTML][HTML] Pre-and post-processing algorithms with deep learning classifier for Wi-Fi fingerprint-based indoor positioning

A Haider, Y Wei, S Liu, SH Hwang - Electronics, 2019 - mdpi.com
To accommodate the rapidly increasing demand for connected infrastructure, automation for
industrial sites and building smart cities, the development of Internet of Things (IoT)-based …

[HTML][HTML] Robust and accurate Wi-Fi fingerprint location recognition method based on deep neural network

Y Wang, J Gao, Z Li, L Zhao - Applied Sciences, 2020 - mdpi.com
Currently, indoor locations based on the received signal strength (RSS) of Wi-Fi are
attracting more and more attention thanks to the technology's low cost, low power …

Neural network-based indoor localization system with enhanced virtual access points

BA Labinghisa, DM Lee - The Journal of Supercomputing, 2021 - Springer
Wi-Fi indoor positioning systems are based on received signal strength indicator (RSSI)
measurements and fingerprinting, by matching measured data with the database. Hence …

[HTML][HTML] Neural-network-based localization method for Wi-Fi fingerprint indoor localization

H Zhu, L Cheng, X Li, H Yuan - Sensors, 2023 - mdpi.com
Despite the high demand for Internet location service applications, Wi-Fi indoor localization
often suffers from time-and labor-intensive data collection processes. This study proposes a …

Feature fusion using stacked denoising auto-encoder and GBDT for Wi-Fi fingerprint-based indoor positioning

H Zhang, B Hu, S Xu, B Chen, M Li, B Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
It may be very difficult to receive the signals from satellite positioning systems due to the
existing obstacles in indoor environment. Arising from the popularity of smart phones, Wi-Fi …

[HTML][HTML] A robust Wi-Fi fingerprint positioning algorithm using stacked denoising autoencoder and multi-layer perceptron

R Wang, Z Li, H Luo, F Zhao, W Shao, Q Wang - Remote Sensing, 2019 - mdpi.com
With the increasing demand for location-based services, Wi-Fi-based indoor positioning
technology has attracted much attention in recent years because of its ubiquitous …

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 …

Improving Multi-floor WiFi-based Indoor positioning systems by Fingerprint grouping

KS Hosseini, MH Azaddel, MA Nourian… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Indoor localization has an important role in different applications of Internet of Things (IoT).
Wi-Fi fingerprinting indoor positioning systems (IPSs) have drawn a lot of attention due to …

Feature learning for fingerprint-based positioning in indoor environment

Z Zheng, Y Chen, T He, L Sun… - International Journal of …, 2015 - journals.sagepub.com
Recent years have witnessed a growing interest in using Wi-Fi received signal strength for
indoor fingerprint-based positioning. However, previous study about this problem has …

An LSTM-based indoor positioning method using Wi-Fi signals

A Sahar, D Han - Proceedings of the 2nd International Conference on …, 2018 - dl.acm.org
Recently, Wi-Fi fingerprints are often used for constructing indoor positioning systems. Wi-Fi
fingerprint is a vector of Received Signal Strength (RSS) values at a particular location …