A novel convolutional neural network based indoor localization framework with WiFi fingerprinting

X Song, X Fan, C Xiang, Q Ye, L Liu, Z Wang… - IEEE …, 2019 - ieeexplore.ieee.org
… directly affect the accuracy of localization results. To address the above issues, we propose
CNNLoc, a CNNbased indoor Localization System with WiFi fingerprinting. By leveraging the …

Joint activity recognition and indoor localization with WiFi fingerprints

F Wang, J Feng, Y Zhao, X Zhang, S Zhang… - Ieee …, 2019 - ieeexplore.ieee.org
… For temporal WiFi fingerprints, we design a C1D based on the … the joint task of activity
recognition and indoor localization. … indoor localization, we find that the task of indoor localization

Energy-efficient indoor localization WiFi-fingerprint system: An experimental study

JLS González, LMS Morillo, JA Álvarez-García… - IEEE …, 2019 - ieeexplore.ieee.org
… ENERGY SAVING RESULTS This paper develops an indoor localization system based on
WiFi networks that, in addition to accuracy, has taken into account the energy efficiency of the …

WiFi fingerprinting indoor localization using local feature-based deep LSTM

Z Chen, H Zou, JF Yang, H Jiang, L Xie - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
… The proposed architecture of LF-DLSTM for WiFi fingerprinting indoor localization is also
presented in this section. Section III illustrates the experimental setup and presents the …

A two-level WiFi fingerprint-based indoor localization method for dangerous area monitoring

F Li, M Liu, Y Zhang, W Shen - Sensors, 2019 - mdpi.com
… the case of dangerous areas monitoring, indoor fingerprint-based localization can be used.
In … usually conflicting since a fingerprint-based indoor localization system with high accuracy …

WiDeep: WiFi-based accurate and robust indoor localization system using deep learning

M Abbas, M Elhamshary, H Rizk… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
… In this paper, we propose WiDeep: a WiFi-based indoor fingerprinting localization system
that can achieve robust and high accuracy tracking in the presence of device heterogeneity. To …

CapsLoc: A robust indoor localization system with WiFi fingerprinting using capsule networks

Q Ye, X Fan, G Fang, H Bie, X Song… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
… Second, indoor localization algorithms are time0consuming due to the … localization
accuracy with WiFi fingerprinting, in this paper, we propose CapsLoc, a robust indoor localization

Cnnloc: Deep-learning based indoor localization with wifi fingerprinting

X Song, X Fan, X He, C Xiang, Q Ye… - … Advanced & Trusted …, 2019 - ieeexplore.ieee.org
… based indoor Localization System with WiFi fingerprinting. By … Compared with the existing
indoor localization approaches, … and multi-floor indoor localization. Our model leverages a …

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
… HFQuM based on WiFi fingerprints, HFQuM is also suitable for any other fingerprint signals,
such … Li, “Indoor localization by fusing a group of fingerprints based on random forests,” IEEE …

A WiFi fingerprint based high-adaptability indoor localization via machine learning

J Xue, J Liu, M Sheng, Y Shi, J Li - China Communications, 2020 - ieeexplore.ieee.org
… lectors: We develop an indoor localization system based on Netty, SpringBoot and
RabbitMQ framework to meet the need of high concurrent positioning requests. In this system, …