An indoor localization of WiFi based on branch-bound algorithm

F Yu, M Jiang, J Liang, X Qin, M Hu… - 2014 International …, 2014 - ieeexplore.ieee.org
Indoor localization based on existing WiFi signal strength is becoming increasingly
prevalent. Many indoor localization algorithms have been proposed, such as NN, KNN and …

WiFi fingerprint based indoor localization with iterative weighted KNN for WiFi AP missing

D Wang, F Zhao, T Wang… - 2018 IEEE 88th Vehicular …, 2018 - ieeexplore.ieee.org
In this paper, a real WiFi fingerprint-based indoor localization system is considered, where
three primary components including the APP in smart phone, the server system and the …

On the performance analysis of wifi based localization

B Huang, M Liu, Z Xu, B Jia - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Currently, WiFi (or IEEE 802.11) enabled infrastructures and devices have become
ubiquitous, which makes it promising to provide indoor positioning services via WiFi signals …

A model based decimeter-scale device-free localization system using COTS Wi-Fi devices

R Gao, H Wang, D Wu, K Niu, E Yi… - Proceedings of the 2017 …, 2017 - dl.acm.org
Commodity Wi-Fi based device-free localization has attracted a great attention in recent
years. Previous related work is either fingerprint-based or model-based. In this demo, we will …

Indoor localization framework with WiFi fingerprinting

R Khullar, Z Dong - 2017 26th Wireless and Optical …, 2017 - ieeexplore.ieee.org
Indoor localization through WiFi fingerprinting requires a large number of fine-grained data
samples. This study presents a data acquisition and indoor localization framework that …

A hybrid fingerprint quality evaluation model for WiFi localization

L Li, X Guo, N Ansari, H Li - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
The main drawback for large-scale applications of WiFi-based localization is the varying
characteristics of received signal strength (RSS), which degenerates the localization …

A boundary aware wifi localization scheme based on umap and knn

Z Xu, B Huang, B Jia, W Li, H Lu - IEEE Communications …, 2022 - ieeexplore.ieee.org
In this letter, a novel localization scheme is reported to improve WiFi fingerprint-based
localization via dimensionality reduction and an adaptive fingerprint matching algorithm …

KARMA: Improving WiFi-based indoor localization with dynamic causality calibration

P Sharma, D Chakraborty, N Banerjee… - 2014 Eleventh …, 2014 - ieeexplore.ieee.org
WiFi-based indoor localization solutions are actively in commercial use today. WiFi radio
maps are typically created in an offline process, and location estimation is performed in …

Adapting convolutional neural networks for indoor localization with smart mobile devices

A Mittal, S Tiku, S Pasricha - Proceedings of the 2018 on Great Lakes …, 2018 - dl.acm.org
Indoor localization is emerging as an important application domain for enhanced navigation
(or tracking) of people and assets in indoor locales such as buildings, malls, and …

DeepPositioning: Intelligent fusion of pervasive magnetic field and WiFi fingerprinting for smartphone indoor localization via deep learning

W Zhang, R Sengupta, J Fodero… - 2017 16th IEEE …, 2017 - ieeexplore.ieee.org
Since WiFi has been pervasively available indoor, most smartphone indoor localization
systems are based on WiFi fingerprinting although they only give coarse-grained location …