On analyzing user location discovery methods in smart homes: A taxonomy and survey

E Ahvar, N Daneshgar-Moghaddam, AM Ortiz… - Journal of Network and …, 2016 - Elsevier
Abstract User Location Discovery (ULD) is a key issue in smart home ecosystems, as it plays
a critical role in many applications. If a smart home management system cannot detect the …

[HTML][HTML] Indoor Positioning Systems in Logistics: A Review

L Vaccari, AM Coruzzolo, F Lolli, MA Sellitto - Logistics, 2024 - mdpi.com
Background: Indoor Positioning Systems (IPS) have gained increasing relevance in
logistics, offering solutions for safety enhancement, intralogistics management, and material …

Fusion of RSS and phase shift using the Kalman filter for RFID tracking

H Ma, K Wang - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
Radio frequency identification (RFID)-based indoor tracking system has been used for the
localization and tracking of forklift and automated guided vehicles in warehouses. Most of …

Fuzzy weighted centroid localization with virtual node approximation in wireless sensor networks

S Phoemphon, C So-In… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Due to their low cost, various range-free localization techniques are widely applied to
estimate device locations in wireless sensor networks (WSNs), especially where other …

[HTML][HTML] Indoor positioning on disparate commercial smartphones using Wi-Fi access points coverage area

I Ashraf, S Hur, Y Park - Sensors, 2019 - mdpi.com
The applications of location-based services require precise location information of a user
both indoors and outdoors. Global positioning system's reduced accuracy for indoor …

[HTML][HTML] An rfid tag movement trajectory tracking method based on multiple RF characteristics for electronic vehicle identification ITS applications

R Pan, Z Han, T Liu, H Wang, J Huang, W Wang - Sensors, 2023 - mdpi.com
Intelligent transportation systems (ITS) urgently need to realize vehicle identification,
dynamic monitoring, and traffic flow monitoring under high-speed motion conditions. Vehicle …

A machine learning approach for user localization exploiting connectivity data

P Cottone, S Gaglio, GL Re, M Ortolani - Engineering Applications of …, 2016 - Elsevier
The growing popularity of Location-Based Services (LBSs) has boosted research on
cheaper and more pervasive localization systems, typically relying on such monitoring …

Machine learning based indoor localization techniques for wireless sensor networks

S Singh, K Kumar, S Gupta - 2020 2nd International Conference …, 2020 - ieeexplore.ieee.org
Indoor localization is the vital technique for wireless sensor networks (WSNs) and is used in
various applications where location of the sensor node is also essential. Current localization …

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 …

Adaptive Weighted Access Point Technique for Robust Dynamic Indoor Positioning

AB Mazlan, YH Ng - IEEE Access, 2024 - ieeexplore.ieee.org
Driven by the burgeoning demand for location-based services, the quest for robust indoor
positioning systems (IPSs) becomes increasingly imperative. Currently, fingerprint-based …