Journal Article

LoRaBB: An Algorithm for Parameter Selection in LoRa-Based Communication for the Amazon Rainforest

Moreira, Diogo Soares, Melo, Paulo Victor Fernandes de, Mota, Edjair, Santos, Gilmara, Yanai, Angela Emi, Souza, Pedro Barreto de

2025

Overview

The interference of human activities in water bodies has contributed to a deterioration in water quality. With the advancement of the Internet of Things (IoT), aided by transmission technologies such as LoRa (Long Range), low-cost solutions have emerged for long-distance environment monitoring scenarios. One key challenge in such IoT-based systems is selecting LoRa transmission parameters to ensure efficient data exchange among nodes, adapting to varying network conditions. Well-known strategies adapt transmission parameters according to network context through information exchange among nodes and LoRa gateway(s). In this work, we introduce a novel LoRa parameter selection algorithm by incorporating three major LoRa metrics (RSSI, SNR, and PDR) and conducting a comprehensive characterization and validation in the forest environment to build a set of reference values of transmission quality, which are employed in a binary search methodology, utilizing the R-array, representing the transmission quality according to LoRa parameters. The experimental results indicate that the proposed algorithm achieves a 16.20% reduction in Time on Air (ToA). Furthermore, our algorithm optimized the transmission power (TP) selection, achieving at least 38% lower energy consumption than ADR TP parameters. These results highlight that our proposed algorithm can enhance the transmissions in a rainforest environment.

• Publisher: MDPI AG,MDPI
• Subject: Algorithms / Amazon River region / Communication / Data transmission / Energy consumption / Forests / Internet of Things / LoRa / LoRa transmission parameter selection / Rain forests / Rainforests / Sensors / single-channel LoRa gateways / Water quality