Methodology for LoRa Gateway Placement Based on Bio-Inspired Algorithmsfor a Smart Campus in Wooded Area.

Autor: Cruz HAO; Electrical Engineering Pós-Graduate Department, Federal University of Pará, Belém 66075-110, Brazil., Ferreira SCB; Electrical Engineering Pós-Graduate Department, Federal University of Pará, Belém 66075-110, Brazil., Araújo JPL; Electrical Engineering Pós-Graduate Department, Federal University of Pará, Belém 66075-110, Brazil., Barros FJB; Electrical Engineering Pós-Graduate Department, Federal University of Pará, Belém 66075-110, Brazil., Farias FS; Information Systems Department, Federal University of Pará, Cametá 68400-000, Brazil., Neto MCA; Electrical Engineering Pós-Graduate Department, Federal University of Pará, Belém 66075-110, Brazil., Tostes MEL; Electrical Engineering Pós-Graduate Department, Federal University of Pará, Belém 66075-110, Brazil., Nascimento AA; Research and Development Program, Norte Energia S.A, Brasília 70714-900, Brazil., Cavalcante GPS; Electrical Engineering Pós-Graduate Department, Federal University of Pará, Belém 66075-110, Brazil.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Aug 29; Vol. 22 (17). Date of Electronic Publication: 2022 Aug 29.
DOI: 10.3390/s22176492
Abstrakt: 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.
Databáze: MEDLINE
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