Queuing time prediction using WiFi positioning data in an indoor scenario

H Shu, C Song, T Pei, L Xu, Y Ou, L Zhang, T Li - Sensors, 2016 - mdpi.com
Queuing is common in urban public places. Automatically monitoring and predicting
queuing time can not only help individuals to reduce their wait time and alleviate anxiety but …

A novel fingerprinting method of WiFi indoor positioning based on Weibull signal model

Z Li, J Liu, Z Wang, R Chen - China Satellite Navigation Conference …, 2018 - Springer
A number of indoor positioning systems based on WiFi fingerprinting were reported thanks
to advantages of this method, such as low cost and extensive availability. The Bayesian …

A framework for proactive indoor positioning in densely deployed WiFi networks

CH Ko, SH Wu - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
A framework that incorporates channel modeling, position estimation, and error analysis
methods is developed for network-based indoor positioning with radio signal strength (RSS) …

Integrated statistical test of signal distributions and access point contributions for Wi-Fi indoor localization

M Zhou, Y Li, MJ Tahir, X Geng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the broad deployment of Wi-Fi networks, the Received Signal Strength (RSS) based Wi-
Fi indoor localization has attained much interest of both academia and industry. At present …

Indoor Positioning System Based on Standardizing Waveform Tendency

X Li, G Yu - Journal of Sensors, 2021 - Wiley Online Library
Estimating the indoor position of users in commercial buildings remains a significant
challenge to date. Although the WiFi‐based indoor localization has been widely explored in …

Indoor positioning method using WiFi RTT based on LOS identification and range calibration

H Cao, Y Wang, J Bi, S Xu, M Si, H Qi - ISPRS International Journal of …, 2020 - mdpi.com
WiFi-based indoor positioning methods have attracted extensive attention due to the wide
installation of WiFi access points (APs). Recently, the WiFi standard was modified and …

Adaptive path loss model for ble indoor positioning system

Y Assayag, H Oliveira, E Souto… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Indoor positioning systems (IPSs) allow the location and tracking of mobile devices in indoor
environments where the global positioning system (GPS) does not provide satisfactory …

Occupancy prediction through Markov based feedback recurrent neural network (M-FRNN) algorithm with WiFi probe technology

W Wang, J Chen, T Hong, N Zhu - Building and Environment, 2018 - Elsevier
Accurate occupancy prediction can improve facility control and energy efficiency of
buildings. In recent years, buildings' exiting WiFi infrastructures have been widely studied in …

Adaptive indoor positioning model based on WLAN-fingerprinting for dynamic and multi-floor environments

IH Alshami, NA Ahmad, S Sahibuddin, F Firdaus - Sensors, 2017 - mdpi.com
The Global Positioning System demonstrates the significance of Location Based Services
but it cannot be used indoors due to the lack of line of sight between satellites and receivers …

Accurate wifi-based indoor positioning with continuous location sampling

JE van Engelen, JJ van Lier, FW Takes… - Machine Learning and …, 2019 - Springer
The ubiquity of WiFi access points and the sharp increase in WiFi-enabled devices carried
by humans have paved the way for WiFi-based indoor positioning and location analysis …