LoRaWISEP: A Simulation and Optimization Tool for LoRaWAN IoT Networks

Long-Range Wide Area Network (LoRaWAN) networks are a promising solution for Internet of Things (IoT) applications that require low power consumption and long-range coverage. These wireless networks enable data transmission between IoT devices and gateways, which are responsible for capturing and relaying messages to a server. However, LoRaWAN network planning involves complex issues, such as determining the number and positioning of gateways, which can impact data transmission efficiency. In this context, this work introduces LoRaWAN IoT Simulation and Optimization Environment Planning (LoRaWISEP) - a Software as a Service (SaaS) designed to assist LoRaWAN network planning through simulations that enable the quantification and positioning of gateways. LoRaWISEP is characterized as a Decision Support tool, aiding in the design of LoRaWAN network infrastructure. The system is developed based on Design Thinking, encompassing stages of immersion, ideation, prototyping, and development to ensure the software meets user needs and offers suitable usability. The study is characterized as a descriptive and qualitative approach. Consequently, the proposed tool can assist in LoRaWAN network planning with an interface that allows easy configuration of parameters, such as the selection of quantification and gateway positioning algorithms. Additionally, the system provides performance results, such as Packet Delivery Rate (PDR), which can be used to evaluate network performance. Therefore, LoRaWISEP facilitates LoRaWAN network planning, significantly contributing to the allocation of IoT devices in various scenarios, including smart cities and precision agriculture, which benefits the scientific community and professionals working with LoRaWAN.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/ficloud62933.2024.00022
Citations
1
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.21

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article

LoRaWISEP: A Simulation and Optimization Tool for LoRaWAN IoT Networks

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article

LoRaWISEP: A Simulation and Optimization Tool for LoRaWAN IoT Networks

Thiago A. R. da Silva, Artur F. da S. Veloso, Fillipe Matos de Vasconcelos, Luís Mendes, Pedro F. F. Abreu, José V. dos Reis, Érico Leão, Geraldo A. Sarmento Neto
article en
1 citations

Abstract

Long-Range Wide Area Network (LoRaWAN) networks are a promising solution for Internet of Things (IoT) applications that require low power consumption and long-range coverage. These wireless networks enable data transmission between IoT devices and gateways, which are responsible for capturing and relaying messages to a server. However, LoRaWAN network planning involves complex issues, such as determining the number and positioning of gateways, which can impact data transmission efficiency. In this context, this work introduces LoRaWAN IoT Simulation and Optimization Environment Planning (LoRaWISEP) - a Software as a Service (SaaS) designed to assist LoRaWAN network planning through simulations that enable the quantification and positioning of gateways. LoRaWISEP is characterized as a Decision Support tool, aiding in the design of LoRaWAN network infrastructure. The system is developed based on Design Thinking, encompassing stages of immersion, ideation, prototyping, and development to ensure the software meets user needs and offers suitable usability. The study is characterized as a descriptive and qualitative approach. Consequently, the proposed tool can assist in LoRaWAN network planning with an interface that allows easy configuration of parameters, such as the selection of quantification and gateway positioning algorithms. Additionally, the system provides performance results, such as Packet Delivery Rate (PDR), which can be used to evaluate network performance. Therefore, LoRaWISEP facilitates LoRaWAN network planning, significantly contributing to the allocation of IoT devices in various scenarios, including smart cities and precision agriculture, which benefits the scientific community and professionals working with LoRaWAN.

Universidade Federal do Piauí (BR), Universidade Federal de Mato Grosso (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 46%
IoT Networks and Protocols
0.21
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