Inverse distance weight-assisted particle swarm optimized indoor localization

J Bi, J Wang, H Cao, G Yao, Y Wang, Z Li, M Sun… - Applied Soft …, 2024 - Elsevier
Indoor localization using wireless fidelity (WiFi) fingerprint has attracted considerable
attention due to its extensive deployment and low cost. Most indoor fingerprint localization …

Deep learning-based cooperative automatic modulation classification method for MIMO systems

Y Wang, J Wang, W Zhang, J Yang… - Ieee transactions on …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is one of the most essential algorithms to identify
the modulation types for the non-cooperative communication systems. Recently, it has been …

Low-cost indoor wireless fingerprint location database construction methods: A review

W Liu, Y Zhang, Z Deng, H Zhou - IEEE Access, 2023 - ieeexplore.ieee.org
The fingerprint positioning has achieved remarkable results in indoor localization tasks, but
the method usually relies on a large amount of fingerprint data to build a fingerprint …

A Tutorial On Privacy, RCM and Its Implications in WLAN

D Ficara, RG Garroppo, J Henry - … Communications Surveys & …, 2023 - ieeexplore.ieee.org
The proliferation of Wi-Fi devices has led to the rise of privacy concerns related to MAC
Address-based systems used for people tracking and localization across various …

Radio map-based cognitive satellite-UAV networks towards 6G on-demand coverage

W Feng, Y Lin, Y Wang, J Wang, Y Chen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The sixth generation (6G) network is envisioned to cover remote areas, with the help of
satellites and unmanned aerial vehicles (UAVs). Considering the vastness of remote areas …

Enhancing WiFi fingerprinting localization through a co-teaching approach using crowdsourced sequential RSS and IMU data

Z Xu, B Huang, B Jia, G Mao - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Crowdsourcing dramatically benefits WiFi fingerprinting localization in reducing the costs of
collecting received signal strength (RSS) data during offline site survey and has gained …

Scalable and efficient clustering for fingerprint-based positioning

J Torres-Sospedra, DPQ Gaibor, J Nurmi… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Indoor positioning based on IEEE 802.11 wireless LAN (Wi-Fi) fingerprinting needs a
reference data set, also known as a radio map, in order to match the incoming fingerprint in …

Pedestrian flow estimation through passive WiFi sensing

B Huang, G Mao, Y Qin, Y Wei - IEEE Transactions on Mobile …, 2019 - ieeexplore.ieee.org
In public places, even if pedestrians do not have their mobile devices connected with any
WiFi access point (AP), WiFi probe requests will be broadcast, so that WiFi sniffers can be …

A theoretical analysis on sampling size in WiFi fingerprint-based localization

B Huang, R Yang, B Jia, W Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper deals with a key problem in WiFi fingerprint-based localization, namely how to
sample a sufficient number of received signal strength (RSS) measurements during an …

AIPS: An accurate indoor positioning system with fingerprint map adaptation

Y Tao, L Zhao - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
WiFi fingerprinting-based indoor positioning system is vulnerable to the dynamic
environment, which makes the positioning accuracy decrease and the fingerprint map …