Machine learning methods in smart lighting toward achieving user comfort: a survey

AG Putrada, M Abdurohman, D Perdana… - IEEE access, 2022 - ieeexplore.ieee.org
Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …

Implementing deep learning techniques in 5G IoT networks for 3D indoor positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)

B El Boudani, L Kanaris, A Kokkinis, M Kyriacou… - Sensors, 2020 - mdpi.com
In the near future, the fifth-generation wireless technology is expected to be rolled out,
offering low latency, high bandwidth and multiple antennas deployed in a single access …

HybLoc: Hybrid indoor Wi-Fi localization using soft clustering-based random decision forest ensembles

BA Akram, AH Akbar, O Shafiq - IEEE Access, 2018 - ieeexplore.ieee.org
Indoor localization has garnered the attention of researchers over the past two decades due
to diverse and numerous applications. The existing works either provide room-level or …

Dumbloc: Dumb indoor localization framework using wifi fingerprinting

SC Narasimman, A Alphones - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Extant indoor positioning techniques based on received signal strength (RSS) fingerprinting
have achieved accurate positioning results. They leverage existing open-source datasets for …

RSS indoor localization based on a single access point

A Kokkinis, L Kanaris, A Liotta, S Stavrou - Sensors, 2019 - mdpi.com
This research work investigates how RSS information fusion from a single, multi-antenna
access point (AP) can be used to perform device localization in indoor RSS based …

Tree-based single led indoor visible light positioning technique

SC Narasimman, A Alphones - TENCON 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Visible light positioning (VLP) has gained prominence as a highly accurate indoor
positioning technique. Few techniques consider the practical limitations of implementing …

Heterogeneous Transfer Learning for Wi-Fi Indoor Positioning Based Hybrid Feature Selection

HT Gidey, X Guo, L Li, Y Zhang - Sensors, 2022 - mdpi.com
This paper presents the application of heterogeneous transfer learning (HetTL) methods
which consider hybrid feature selection to reduce the training calibration effort and the noise …

Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap

B El Boudani, T Dagiuklas, L Kanaris, M Iqbal… - Electronics, 2023 - mdpi.com
Indoor positioning is a core enabler for various 5G identity and context-aware applications
requiring precise and real-time simultaneous localisation and mapping (SLAM). In this work …

Indoor visible light positioning for a single partially visible LED

SC Narasimman, A Alphones - IEEE Sensors Letters, 2024 - ieeexplore.ieee.org
With the IEEE 802.11 bb standard being adopted to incorporate light communication,
research interest in visible light positioning (VLP) has increased. While several VLP …

Data fusion methods for indoor positioning systems based on channel state information fingerprinting

HT Gidey, X Guo, K Zhong, L Li, Y Zhang - Sensors, 2022 - mdpi.com
Indoor signals are susceptible to NLOS propagation effects, multipath effects, and a dynamic
environment, posing more challenges than outdoor signals despite decades of …