A Portable IoT and Lora-Enabled Safety and Communication Framework for Small-Scale Fishing Vessels

Communications is still a concern for small-scale fishing vessels that don’t have expensive satellite systems. This paper describes geolocation, Environmental Sensing, and resilient, two-way LoRa communications. In addition, it presents a portable IoT framework that revolves around an ESP32-S3 microcontroller and an SX1278 transceiver. Within a dashboard supported by Firebase, it synchronizes the data collected during internet inactivity. The system is active during internet outages. Active two-way messaging is possible in the proposed system, which is an improvement over existing systems that emphasize one-way telemetry. This allows for real-time safety communications and monitoring. Shackelford and Schoch, in their field trials, noted reliable messaging across two kilometers inland and four kilometers offshore, proving its alignment with near-shore fisheries operations. The practicality is enhanced by the system's portability, modularity, and low price, which also allows for scalability into larger fleets and the national fisheries monitoring system. Planned future improvements involve AES-based encrypted messaging, energy management for multi-day voyages, mesh relay systems to extend communications, and a community-level safety tool. This enhances and strengthens the proposed system as a national-scale safety solution.

LoRa, ESP32, IoT, Fisheries safety, Marine communication

1. Parri, L., Parrino, S., Peruzzi, G., & Pozzebon, A. (2019). Low Power Wide Area Networks at sea: Performance analysis of offshore data transmission by means of LoRaWAN connectivity for marine monitoring applications. Sensors, 19(14), 3239. [Google Scholar] [Crossref]

2. Pensieri, S., Viti, F., Moser, G., et al. (2021). Evaluating LoRaWAN connectivity in a marine scenario. Journal of Marine Science and Engineering, 9(11), 1218. [Google Scholar] [Crossref]

4. Jovalekic, N., et al. (2018). Experimental study of LoRa transmission over seawater. Sensors, 18(10), 3468. [Google Scholar] [Crossref]

5. Pinelo, J., Rocha, A. D., et al. (2023). Unveiling LoRa’s oceanic reach: Assessing the coverage of the Azores LoRaWAN network from an island. Sensors, 23(18), 7885. [Google Scholar] [Crossref]

6. Tassetti, A. N., Galdelli, A., et al. (2022). Addressing gaps in small-scale fisheries: A low-cost tracking system. Sensors, 22(3), 1162. [Google Scholar] [Crossref]

7. Aghenta, L. O., & Iqbal, M. T. (2020). Design and implementation of a low-cost, open-source IoT-based SCADA system using ESP32 with OLED, ThingsBoard and MQTT. AIMS Electronics and Electrical Engineering, 4(1), 57–86. [Google Scholar] [Crossref]

8. Kumar, G. J., Zaki, K., et al. (2023). IoT-based system for monitoring and control of industrial process using real-time Firebase database. AIP Conference Proceedings, 2427, 020110. [Google Scholar] [Crossref]

9. Höchst, J., Baumgärtner, L., et al. (2020). LoRa-based device-to-device smartphone communication for crisis scenarios. Proceedings of ISCRAM. [Google Scholar] [Crossref]

10. Nahmias, D., et al. (2021). Resilient IoT architectures for remote monitoring. IEEE Internet of Things Journal, 8(15), 12015–12028. [Google Scholar] [Crossref]

11. Fafoutis, X., et al. (2017). Extending the lifetime of wireless sensor networks with battery-free nodes. Computer Communications, 101, 94–106. [Google Scholar] [Crossref]

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