Machine learning assists IoT localization: a review of current challenges and future trends

R Shahbazian, G Macrina, E Scalzo, F Guerriero - Sensors, 2023 - mdpi.com
The widespread use of the internet and the exponential growth in small hardware diversity
enable the development of Internet of things (IoT)-based localization systems. We review …

[HTML][HTML] LoRa-based outdoor localization and tracking using unsupervised symbolization

KZ Islam, D Murray, D Diepeveen, MGK Jones, F Sohel - Internet of Things, 2024 - Elsevier
This paper proposes a long-range (LoRa)-based outdoor localization and tracking method.
Our method presents an unsupervised localization approach that utilizes symbolized LoRa …

Machine learning‐based LoRa localisation using multiple received signal features

KZ Islam, D Murray, D Diepeveen… - IET Wireless Sensor …, 2023 - Wiley Online Library
Low‐power localisation systems are crucial for machine‐to‐machine communication
technologies. This article investigates LoRa technology for localisation using multiple …

A review of LoRaWAN performance optimization through cross-layer-based approach for Internet of Things

M Alipio, CC Chaguile, M Bures - Internet of Things, 2024 - Elsevier
Abstract The Internet of Things (IoT) is proliferating in technology and automation. Some
popular IoT applications include environmental monitoring, home automation, agriculture …

Insus: Indoor navigation system using unity and smartphone for user ambulation assistance

ED Fajrianti, N Funabiki, S Sukaridhoto… - Information, 2023 - mdpi.com
Currently, outdoor navigation systems have widely been used around the world on
smartphones. They rely on GPS (Global Positioning System). However, indoor navigation …

[HTML][HTML] Optimization of LoRa for BIoT based on ML: A case of ESL

MAA Khan, ZU Rehman, J Ma, H Ma - Alexandria Engineering Journal, 2023 - Elsevier
Several technologies provide cellular connectivity to transmit data to end devices (EDs) in
the indoor environment. These technologies have short-range; complex network …

[HTML][HTML] A hybrid convolutional neural network-transformer method for received signal strength indicator fingerprinting localization in Long Range Wide Area Network

AS Lutakamale, HC Myburgh, A De Freitas - Engineering Applications of …, 2024 - Elsevier
In recent years, low-power wide area networks (LPWANs), particularly Long-Range Wide
Area Network (LoRaWAN) technology, are increasingly being adopted into large-scale …

Optimization of LoRa for Distributed Environments Based on Machine Learning

MAA Khan, L Senlin, H Ma, AK Shaikh… - 2024 IEEE Asia …, 2024 - ieeexplore.ieee.org
In the rapidly evolving Internet of Things (IoT) field, wireless communication technologies
have revolutionized industries by connecting smart devices for extensive data sharing and …

[HTML][HTML] RSSI-based fingerprint localization in LoRaWAN networks using CNNs with squeeze and excitation blocks

AS Lutakamale, HC Myburgh, A De Freitas - Ad Hoc Networks, 2024 - Elsevier
The ability to offer long-range, high scalability, sustainability, and low-power wireless
communication, are the key factors driving the rapid adoption of the LoRaWAN technology in …

[HTML][HTML] Performance Analysis for Time Difference of Arrival Localization in Long-Range Networks

I Daramouskas, I Perikos, M Paraskevas, V Lappas… - Smart Cities, 2024 - mdpi.com
Highlights What are the main findings? Noise can cause discrepancies in the estimated
distances, including negative values, indicating inaccuracies in reference base station …