Lorawan meets ml: A survey on enhancing performance with machine learning
The Internet of Things is rapidly growing with the demand for low-power, long-range
wireless communication technologies. Long Range Wide Area Network (LoRaWAN) is one …
wireless communication technologies. Long Range Wide Area Network (LoRaWAN) is one …
Machine learning assists IoT localization: a review of current challenges and future trends
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 …
enable the development of Internet of things (IoT)-based localization systems. We review …
Machine learning‐based LoRa localisation using multiple received signal features
Low‐power localisation systems are crucial for machine‐to‐machine communication
technologies. This article investigates LoRa technology for localisation using multiple …
technologies. This article investigates LoRa technology for localisation using multiple …
[HTML][HTML] A hybrid convolutional neural network-transformer method for received signal strength indicator fingerprinting localization in Long Range Wide Area Network
In recent years, low-power wide area networks (LPWANs), particularly Long-Range Wide
Area Network (LoRaWAN) technology, are increasingly being adopted into large-scale …
Area Network (LoRaWAN) technology, are increasingly being adopted into large-scale …
Revolutionising IoT Network Security By Assessing ML Localisation Techniques Against Jamming Attacks
The Internet of Things (IoT) revolutionises data flow management by interconnecting various
devices, from sim-ple sensors to complex systems, for varied applications, including smart …
devices, from sim-ple sensors to complex systems, for varied applications, including smart …
[HTML][HTML] RSSI-based fingerprint localization in LoRaWAN networks using CNNs with squeeze and excitation blocks
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 …
communication, are the key factors driving the rapid adoption of the LoRaWAN technology in …
Using fuzzy transforms for neural networks-based wireless localization in outdoor environments
K Solmann, R Loffredo, S Tomasiello - Neural Computing and Applications, 2024 - Springer
As neural network-based localization algorithms are becoming popular, there is a need to
shorten the training time and the localization time for sustainability and efficiency purposes …
shorten the training time and the localization time for sustainability and efficiency purposes …
A Simplified Method Based on RSSI Fingerprinting for IoT Device Localization in Smart Cities
The Internet of Things (IoT) has significantly improved location-based services in smart
cities, such as automated public transportation and traffic management. Estimating the …
cities, such as automated public transportation and traffic management. Estimating the …
Weather-Based Nonlinear Regressions for Digital TV Received Signal Strength Prediction
I Stefanovic, M Malnar, S Mladenovic… - Elektronika ir …, 2024 - eejournal.ktu.lt
In this research, the impact of various weather conditions on digital television signals is
investigated. Machine learning and nonlinear regression models were used to estimate the …
investigated. Machine learning and nonlinear regression models were used to estimate the …
Localization, Tracking, and Data Transmission Using LoRa
KZ Islam - 2024 - researchportal.murdoch.edu.au
Abstract Current remote Internet of Things (IoT) monitoring systems generally use GPS, WiFi,
and mobile cellular network technologies. However, these technologies face challenges …
and mobile cellular network technologies. However, these technologies face challenges …