Work

Architecture for Automated Real-Time Bidirectional Data Handling in LoRaWAN Gateways

Year: 2025

Type: article

Abstract: The rapid growth of Internet of Things (IoT) applications is reshaping countless sectors and, in the process, exposing the limitations of existing connectivity solutions—especially in rugged regions like South America’s Andean highlands, where conventional infrastructure networks are scarce. To address this gap, this research introduces an automated system that captures uplink and downlink data from LoRaWAN nodes in real time. The system continuously monitors essential indicators—RSSI, SNR, transmit power, spreading factor, bandwidth, device speed, and packet interval—and stores them for later analysis. Thanks to its modular design, the system adapts easily to urban, semi-urban, and challenging rural topographies. Field trials show that our tool gathers reliable performance data while cutting the time and manual effort typical of traditional measurement campaigns. These results streamline IoT roll-outs in demanding terrain and lay the foundation for scalable LoRaWAN deployments throughout the Andean region.

Source: Automation

DOI: 10.3390/automation6030038

Authors: Manuel Quiñones-Cuenca, Esteban Briceño-Sánchez, Hoswel Jiménez-Salcedo, Santiago Quiñones-Cuenca, Leslye Estefania Castro Eras, Carlos Carrión Betancourt

Institutions: Universidad Técnica Particular de Loja, Universidade Federal do Sul e Sudeste do Pará, Universidade Estadual de Campinas (UNICAMP)

Language: English

Topic: IoT Networks and Protocols

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,207