The Internet of Things (IoT) device scenario has several emerging technologies. Among them, Low-Power Wide-Area Networks (LPWANs) have proven to be efficient connections for smart devices. These devices communicate through gateways that exchange points with the central server. This study proposes an empirical and statistical methodology based on measurements carried out in a typical scenario of Amazonian cities composed of forests and buildings on the Campus of the Federal University of Pará (UFPA) to apply an adjustment to the coefficients in the UFPA propagation model. Furthermore, an Evolutionary Particle Swarm Optimization (EPSO) metaheuristic with multi-objective optimization was applied to maximize the coverage area and minimize the number of gateways to assist in the planning of a LoRa network. The results of simulations using the Monte Carlo method show that the EPSO-based gateway placement optimization methodology can be used to plan future LPWAN networks. As reception sensitivity is a decisive factor in the coverage area, with −108 dBm, the optimal solution determined the use of three gateways to cover the smart campus area.

Avaliação de Desempenho da Cobertura e Capacidade de uma Rede Sem Fio IEEE 802.11ac / Performance Evaluation of the Coverage and Capacity of an IEEE 802.11ac Wireless Network

Simulação de propagação de sinais de radiofrequência como metodologia de ensino em engenharia / Simulation of radiofrequency signal propagation as an engineering teaching methodology

Desenvolvimento de um simulador para ambiente indoor para redes de nova geração / Development of a simulator for indoor environment for next generation networks