Indoor location fingerprinting algorithm based on path loss parameter estimation and bayesian inference

H Huan, K Wang, Y Xie, L Zhou - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
For indoor positioning methods based on Wi-Fi fingerprint, a high-density location fingerprint
database usually needs to be constructed to ensure high-precision positioning …

Federated learning-based localization with heterogeneous fingerprint database

X Cheng, C Ma, J Li, H Song, F Shu… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Fingerprint-based localization plays an important role in indoor location-based services,
where the position information is usually collected in distributed clients and gathered in a …

Accuracy-aware wireless indoor localization: Feasibility and applications

C Luo, H Hong, L Cheng, MC Chan, J Li… - Journal of Network and …, 2016 - Elsevier
Fingerprint-based indoor localization has attracted extensive research efforts due to its
potential for deployment without extensive infrastructure support. However, the accuracies of …

Toward practical deployment of fingerprint-based indoor localization

S He, T Hu, SHG Chan - IEEE Pervasive Computing, 2017 - ieeexplore.ieee.org
This article addresses several challenges for practical deployment of Wi-Fi fingerprinting
localization. First, the signals of virtual access points (VAPs) from the same physical access …

Reducing fingerprint collection for indoor localization

Z Gu, Z Chen, Y Zhang, Y Zhu, MM Lu… - Computer Communications, 2016 - Elsevier
A typical WiFi-based indoor localization technique estimates a device's location by
comparing received signal strength indicator (RSSI) against stored fingerprints and finding …

DLP: Achieve customizable location privacy with deceptive dummy techniques in LBS applications

J Tang, H Zhu, R Lu, X Lin, H Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
As a straightforward consequence of advances in the Internet of Things (IoT), location-based
service (LBS) applications have been pervasive in our daily lives. Nevertheless, since those …

Protecting multi-lateral localization privacy in pervasive environments

T Shu, Y Chen, J Yang - IEEE/ACM transactions on networking, 2015 - ieeexplore.ieee.org
Location-based services (LBSs) have raised serious privacy concerns in the society, due to
the possibility of leaking a mobile user's location information in enabling location-dependent …

A novel clustering and KWNN-based strategy for Wi-Fi fingerprint indoor localization

W Chen, Q Chang, H Hou… - 2015 4th International …, 2015 - ieeexplore.ieee.org
With the increasing usage of Wi-Fi infrastructure, methods of indoor localization by Wi-Fi are
receiving more and more research efforts in the past. Reducing computational complexity …

Indoor localization based on subarea division with fuzzy C-means

J Li, J Tian, R Fei, Z Wang… - International Journal of …, 2016 - journals.sagepub.com
One of the most significant researches in location-based services is the development of
effective indoor localization. In this work, we propose a novel model of fingerprint …

Analyzing and evaluating efficient privacy-preserving localization for pervasive computing

G Wang, J He, X Shi, J Pan… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Privacy-preserving localization in crowdsourcing has drawn much attention recently. Under
the classical nonadjacent subtraction-based localization (NSL) model, existing solutions …