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Smart city article details
| Title | Lorawisep: A Simulation And Optimization Tool For Lorawan Iot Networks |
|---|---|
| ID_Doc | 35655 |
| Authors | Abreu P.F.F.; De Mendes L.H.O.; Sarmento Neto G.A.; Da Silva T.A.R.; Da Veloso A.F.S.; De Vasconcelos F.M.; Leao E.M.; Dos Reis Junior J.V. |
| Year | 2024 |
| Published | Proceedings - 2024 11th International Conference on Future Internet of Things and Cloud, FiCloud 2024 |
| DOI | http://dx.doi.org/10.1109/FiCloud62933.2024.00022 |
| 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. © 2024 IEEE. |
| Author Keywords | Decision Support Systems; Infrastructure; LoRaWAN; Low-Power Wide Area Network; Modeling and Simulation of Networks |
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