Multi-Objective Optimization of LoRa Network for Cattle Monitoring in Open Environments

• João Victor de Barros Felix UFPE
• Abel G. S. Filho UFPE
• Adriano Sarmento UFPE

Resumo

The primary objective of this paper is to propose a multi-objective optimization process of an IoT network for cattle monitoring in open environments. The proposed approach utilizes a LoRa network simulation model and optimization algorithms focused on improving the choice of its configuration parameters. It simulates cattle's real displacement and compares the optimization performance of three algorithms, indicating the best of these. Results demonstrate that the approach used in the work successfully optimizes the parameters, reducing energy consumption and increasing communication between gateways in this application scenario.

Palavras-chave: Energy consumption, Agribusiness, LoRa, Cows, Logic gates, Modeling, Optimization, Monitoring, IoT, Simulation