A fingerprint-based localization algorithm based on LSTM and data expansion method for sparse samples

B Jia, W Qiao, Z Zong, S Liu, M Hijji, J Del Ser… - Future Generation …, 2022 - Elsevier
The accuracy of WiFi fingerprint-based localization is related to the number of reference
points, generally, to obtain better positioning accuracy, enough samples must be collected …

Location Privacy‐Preserving Method Based on Historical Proximity Location

X Guo, W Wang, H Huang, Q Li… - … and mobile computing, 2020 - Wiley Online Library
With the rapid development of Internet services, mobile communications, and IoT
applications, Location‐Based Service (LBS) has become an indispensable part in our daily …

Wi-Fi fingerprint positioning updated by pedestrian dead reckoning for mobile phone indoor localization

Q Chang, S Van de Velde, W Wang, Q Li, H Hou… - … Proceedings: Volume III, 2015 - Springer
The widespread deployment of Wi-Fi communication makes it easy to find Wi-Fi access
points in the indoor environment, which enables us to use them for Wi-Fi fingerprint …

Robustifying Wi-Fi localization by between-location data augmentation

M Sugasaki, M Shimosaka - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Wi-Fi fingerprint-based indoor localization is one of the most practical localization methods,
which does not require extra infrastructure and special hardware. However, we need to …

[PDF][PDF] Privacy-preserving positioning in wi-fi fine timing measurement

D Schepers, A Ranganathan - Proceedings on Privacy Enhancing …, 2022 - par.nsf.gov
With the standardization of Wi-Fi Fine Timing Measurement (Wi-Fi FTM; IEEE 802.11 mc),
the IEEE introduced indoor positioning for Wi-Fi networks. To date, Wi-Fi FTM is the most …

Know where you are: A practical privacy-preserving semi-supervised indoor positioning via edge-crowdsensing

J An, Z Wang, X He, X Gui, J Cheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent years, with the popularity of smartphones, the indoor positioning systems based on
mobile crowdsensing (MCS) have gained considerable interest and exploit. However, it is …

Calibrated data simplification for energy-efficient location sensing in internet of things

M Zhou, Y Wang, Z Tian, Y Lian… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) has gradually changed the way of people's lives due to its ability
of connecting everything together, and meanwhile the accurate location sensing plays a …

WicLoc: An indoor localization system based on WiFi fingerprints and crowdsourcing

J Niu, B Wang, L Cheng… - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
WiFi fingerprint-based indoor localization techniques have been proposed and widely used
in recent years. Most solutions need a site survey to collect fingerprints from interested …

[图书][B] Wireless Indoor Localization: A Crowdsourcing Approach

C Wu, Z Yang, Y Liu - 2018 - Springer
This book provides a comprehensive and in-depth understanding of wireless indoor
localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi …

Communicating is crowdsourcing: Wi-Fi indoor localization with CSI-based speed estimation

ZP Jiang, W Xi, X Li, S Tang, JZ Zhao, JS Han… - Journal of Computer …, 2014 - Springer
Numerous indoor localization techniques have been proposed recently to meet the intensive
demand for location-based service (LBS). Among them, the most popular solutions are the …