Tiny Machine Learning (TinyML) for Efficient Channel Selection in LoRaWAN

MA Lodhi, MS Obaidat, L Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Machine learning has emerged as a promising avenue for enhancing the efficiency and
intelligence of channel allocation processes. However, deploying machine learning …

Tackling Hidden Node Problem Utilizing Traffic Periodicity and Downlink Carrier Sense in LPWAN

A Kaburaki, K Adachi, O Takyu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Low-power wide-area networks (LPWANs), which achieve low-power consumption,
enabling long-term battery operation and long-range communication capabilities, have …

On the Channel Activity Detection in LoRaWAN networks

L Vangelista, G Calvagno - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
In this paper, we consider the problem of detecting the channel activity in LoRaWAN
networks. To improve the medium access performance, recent implementations of the …

Technology Assessment for LoRaWAN-based Time-limited Smart Parking. A Case Study.

C Pous, J Meléndez, R Casas, J Trigo - IEEE Access, 2024 - ieeexplore.ieee.org
As cities evolve, the need for systems that aid in their management becomes more
necessary. Regarding traffic, and specifically the issues generated by vehicle parking …

Flex2TRL: A Study Tool to Evaluate the LoRaWAN Covering Range Based on RSSI

J Hérard, L Odorico, V Chauvin, A Pagnier… - Proceedings of the …, 2024 - Springer
In the rapidly evolving domain of the Internet of Things (IoT), ensuring extensive and reliable
network coverage remains a formidable challenge, particularly in urban environments …