A survey of selected indoor positioning methods for smartphones

P Davidson, R Piché - IEEE Communications surveys & …, 2016 - ieeexplore.ieee.org
This paper provides an overview of the most significant existing methods for indoor
positioning on a contemporary smartphone. The approaches include Wi-Fi and Bluetooth …

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

SE Trevlakis, AAA Boulogeorgos… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

An improved WiFi indoor positioning algorithm by weighted fusion

R Ma, Q Guo, C Hu, J Xue - Sensors, 2015 - mdpi.com
The rapid development of mobile Internet has offered the opportunity for WiFi indoor
positioning to come under the spotlight due to its low cost. However, nowadays the accuracy …

Novel weighted ensemble classifier for smartphone based indoor localization

P Roy, C Chowdhury, M Kundu, D Ghosh… - Expert Systems with …, 2021 - Elsevier
Indoor localization systems have the capability to change the way of providing location-
based services in a closed environment. Though there is no agreed-upon technology that …

An effective random statistical method for Indoor Positioning System using WiFi fingerprinting

DB Ninh, J He, VT Trung, DP Huy - Future Generation Computer Systems, 2020 - Elsevier
In the paper, an effective random statistical method is proposed for Indoor Positioning
System (IPS) using WiFi fingerprinting. The proposed method consists of two phases: the …

Improving RF-based partial discharge localization via machine learning ensemble method

ET Iorkyase, C Tachtatzis, IA Glover… - … on Power Delivery, 2019 - ieeexplore.ieee.org
Partial discharge (PD) is regarded as a precursor to plant failure and therefore, an effective
indication of plant condition. Locating the source of PD before failure is key to efficient …

RRIFLoc: Radio robust image fingerprint indoor localization algorithm based on deep residual networks

S Deng, W Zhang, L Xu, J Yang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Indoor localization is one of the most exciting research areas due to the increasing demand
for location-based services (LBSs) in indoor environments. The fingerprint positioning …

Indoor location sensing with invariant Wi-Fi received signal strength fingerprinting

MN Husen, S Lee - Sensors, 2016 - mdpi.com
A method of location fingerprinting based on the Wi-Fi received signal strength (RSS) in an
indoor environment is presented. The method aims to overcome the RSS instability due to …

Calibration-free 3d indoor positioning algorithms based on dnn and diff

J Yang, S Deng, L Xu, W Zhang - Sensors, 2022 - mdpi.com
The heterogeneity of wireless receiving devices, co-channel interference, and multi-path
effect make the received signal strength indication (RSSI) of Wi-Fi fluctuate greatly, which …

Fuzzy decision trees embedded with evolutionary fuzzy clustering for locating users using wireless signal strength in an indoor environment

SJ Narayanan, CJ Baby, B Perumal… - … journal of intelligent …, 2021 - Wiley Online Library
Location estimation is one of the critical requirement for developing smart environment
products. Due to huge utilization and accessibility of WiFi infrastructure facility in indoor …