LoRaPlan: A Tool for LoRaWAN Network Planning

• Rodrigo Torres UFJF
• Edelberto Franco Silva UFJF

DOI: https://doi.org/10.5753/sbrc_estendido.2024.2949

Abstract

The increased need for monitoring through sensors and decisionmaking based on large volumes of data has driven the growth of the Internet of Things (IoT) and the interconnection of devices. LoRaWAN emerges as a promising alternative due to its wide coverage and low energy consumption. However, the lack of adequate tools to plan and implement this network represents a challenge for network engineers. This work proposes a system to assist in the planning and implementation of LoRaWAN networks, addressing issues such as the appropriate quantity and location of gateways for a given scenario, aiming to optimize resources and guarantee a stable connection.

References

Ali, H. M., Liu, J., Bukhari, S. A. C., and Rauf, H. T. (2022). Planning a secure and reliable iot-enabled fog-assisted computing infrastructure for healthcare. Cluster Computing, 25(3):2143–2161.

Aref, M. and Sikora, A. (2014). Free space range measurements with semtech lora™ technology. In 2014 2nd international symposium on wireless systems within the conferences on intelligent data acquisition and advanced computing systems, pages 19–23. IEEE.

Committee, L. A. T. (2020). Rp2-1.0.1 lorawan® regional parameters. [link]. Acessado: 20/06/2023.

Ferreira Jr, D., Oliveira, J. L., Santos, C., Filho, T., Ribeiro, M., Freitas, L. A., Moreira, W., and Oliveira-Jr, A. (2022). Planning and optimization of software-defined and virtualized iot gateway deployment for smart campuses. Sensors, 22(13):4710.

Figueiredo, L. M. and Silva, E. F. (2020). Cognitive-lora: adaptation-aware of the physical layer in lora-based networks. In 2020 IEEE Symposium on Computers and Communications (ISCC), pages 1–6. IEEE.

Friis, H. T. (1946). A note on a simple transmission formula. Proceedings of the IRE, 34(5):254–256.

Islam, N., Ray, B., and Pasandideh, F. (2020). Iot based smart farming: Are the lpwan technologies suitable for remote communication? In 2020 IEEE International Conference on Smart Internet of Things (SmartIoT), pages 270–276. IEEE.

Jouhari, M., Saeed, N., Alouini, M.-S., and Amhoud, E. M. (2023). A survey on scalable lorawan for massive iot: Recent advances, potentials, and challenges. IEEE Communications Surveys & Tutorials.

Karthikeya, S. A., Vijeth, J., and Murthy, C. S. R. (2016). Leveraging solution-specific gateways for cost-effective and fault-tolerant iot networking. In 2016 IEEE Wireless Communications and Networking Conference, pages 1–6. IEEE.

Matni, N., Moraes, J., Rosário, D., Cerqueira, E., and Neto, A. (2019). Optimal gateway placement based on fuzzy c-means for low power wide area networks. In 2019 IEEE Latin-American Conference on Communications (LATINCOM), pages 1–6. IEEE.

Pereira, A. C. and Romero, F. (2017). A review of the meanings and the implications of the industry 4.0 concept. Procedia Manufacturing, 13:1206–1214.

Shannon, C. E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3):379–423.

Solanas, A., Patsakis, C., Conti, M., Vlachos, I. S., Ramos, V., Falcone, F., Postolache, O., Pérez-Martínez, P. A., Di Pietro, R., Perrea, D. N., et al. (2014). Smart health: A context-aware health paradigm within smart cities. IEEE Communications Magazine, 52(8):74–81.

Talari, S., Shafie-Khah, M., Siano, P., Loia, V., Tommasetti, A., and Catalão, J. P. (2017). A review of smart cities based on the internet of things concept. Energies, 10(4):421.

Yoon, C., Lim, D., and Park, C. (2020). Factors affecting adoption of smart farms: The case of korea. Computers in Human Behavior, 108:106309.