LoRaWISEP+: A Comprehensive Tool for Strategic Gateway Placement in LoRaWAN Networks

• Pedro F. F. Abreu UFPI http://orcid.org/0009-0000-2241-320X
• Luís H. de O. Mendes UFPI https://orcid.org/0009-0007-0249-9086
• Geraldo A. Sarmento Neto UFPI https://orcid.org/0009-0008-6009-3989
• Thiago A. R. da Silva UFPI / IFMA https://orcid.org/0009-0000-0601-4858
• Artur F. da S. Veloso UFPI https://orcid.org/0000-0001-6872-5954
• Erico Leão UFPI https://orcid.org/0000-0001-5441-3490
• José V. dos Reis Junior UFPI http://orcid.org/0000-0002-9556-5471

DOI: https://doi.org/10.5753/sbesc_estendido.2024.243700

Resumo

The Internet of Things has revolutionized device interconnectivity, with Low Power Wide Area Networks (LPWAN) enabling long-range communication with minimal energy consumption. Within this context, LoRaWAN is widely recognized as an efficient and robust technology for LPWAN networks. However, strategic gateway deployment remains a challenging for optimizing network performance. In this way, this paper issue proposes LoRaWISEP+, an enhanced version of the LoRaWISEP system, consisting of a comprehensive tool designed to improve the deployment process of LoRaWAN gateways. This solution incorporates additional clustering algorithms, such as K-Medoids (KMD) and Fuzzy C-Means (FCM), and a redesigned userfriendly interface, facilitating optimal placement of gateways and improving overall network coverage and reliability. In order to validate the new features of the proposed tool, a thorough evaluation was conducted using real-world deployment scenarios. Results demonstrate that different clustering algorithms exhibit strengths in specific characteristics, such as FCM being more suitable for lower energy consumption and K-Means (KM) being more suitable for higher transmission rates. This makes LoRAWISEP+ an enabling tool for optimizing network planning according to the most beneficial characteristic for the user.

Palavras-chave: Clustering, IoT, LoRaWAN, Placement, Tool

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