Aazhi Aran: Lorawan-Enabled Intelligent Maritime Border Security and Crew Safety System

Fishing communities operating in remote maritime environments face significant safety challenges due to unreliable communication systems, unclear international sea borders, harsh weather conditions, and delayed emergency response. These factors often lead to accidental border crossings and hazardous situations, threatening the lives of fishermen. To address these issues, this paper proposes a LoRaWAN-Enabled Intelligent Maritime Border Security and Crew Safety System that provides a reliable and energy- efficient solution for enhancing maritime safety.

The proposed system is built using an ESP32 LoRa module integrated with a GPS module, DHT11 temperature and humidity sensor, air quality sensor, DC motor with motor driver, buzzer, LCD display, and an emergency switch. The GPS module continuously monitors the real-time location of the fishing boat, while predefined maritime boundary coordinates are used to detect proximity to restricted zones. Environmental conditions inside the boat are monitored using the DHT11 and air quality sensors to ensure crew safety.

The system operates on a three-level safety mechanism. Level 1 provides early warnings through visual and audible alerts, Level 2 issues danger alerts with motor speed reduction, and Level 3 initiates critical actions such as automatic motor reversal to prevent border crossing. Environmental threshold violations also trigger alerts to notify the crew.

In emergency situations, fishermen can activate the emergency switch to transmit distress signals along with GPS coordinates via LoRaWAN. The system also supports boat-to-boat communication, enabling nearby vessels to share alerts and assist each other without relying on cellular networks.

The proposed system is cost-effective, reliable, and suitable for small-scale fishing operations. It enhances safety by integrating border monitoring, environmental sensing, and long-range communication in a single platform.

LORAWAN, Maritime Safety, Border Security, GPS Tracking, Air Quality Monitoring, ESP32, Emergency Communication, Smart Fishing System.

1. W. W. C. D. Fernando and M. A. A. Karunarathna, “A Portable IoT and Lora-Enabled Safety and Communication Framework for Small-Scale Fishing Vessels,”International Journal of Research and Innovation in Applied Science (IJRIAS), vol.10,no.9,Sept.2025. [Google Scholar] [Crossref]

2. D. Amarnath, G. Renganayahi, S. Abirami, and A. Kayalvizhi, “IoT based Fisherman Border Alert System,” International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), vol. 5, no. 2, pp. 107-111, Feb.2025 [Google Scholar] [Crossref]

3. S. Kancharla, S. Gundu, N. Pavani, and T. Suman, “Border Alert System for Fisherman using GPS and GSM,” International Journal of Engineering & Science Research (IJESR), vol. 15, no. 1s, pp. 302- 308, Jan.-Mar. 2025. [Google Scholar] [Crossref]

4. T. Menakadevi, R. Charitha, S. Harini, and L. Keerthana, “Smart Marine Border Monitoring and Fisherman Safety Alert System,” Alochana Journal, vol. 14,no.7,pp.371-376,2025. [Google Scholar] [Crossref]

5. P. Manne, E. Kavya, G. Jahnavi, and K. Manasa, “LORA Frequency Communication Based Safety and Security System for Fishermen,” Journal of Nonlinear Analysis and Optimization (JNAO), vol. 15, no. 2, pp. 127-133, 2024. [Google Scholar] [Crossref]

6. N. A. Abdul Latiff, I. S. Ismail, N. F. Munajat, and M. R. Awal, “Evaluating the Efficacy of Long- Range Technology in Boat Tracking Systems,” Journal of Engineering Science and Technology (JESTEC), vol. 19, no. 4, pp. 1221-1234, Aug.2024. [Google Scholar] [Crossref]

7. B. A. Apriliansyah and M. Iqbal, “LoRa based long-range traceable life jacket system design,” BIO Web of Conferences, vol. 106, p. 01003, 2024. [Google Scholar] [Crossref]

8. E. Charumathi, N. Ragavi, S. Umamaheswari, and S. Senthazhai, “LoRa Based Fisherman Border Alert and Weather Alert Security System,” International Journal of Research Publication and Reviews (IJRPR), vol. 5, no. 3, pp. 2881-2884, Mar.2024. [Google Scholar] [Crossref]

9. R. Karthikeyan, P. Manikandan, S. Praveen,“Smart Maritime Border Alert System for Fishermen Using GPS and IoT,”International Journal of Engineering Research and Applications, 2024. [Google Scholar] [Crossref]

10. S. Rajesh, M. Praveena, K. Lavanya,“LoRa Based Long Range Communication System for Marine Monitoring,”IEEE International Conference on IoT and Communication Systems, 2024. [Google Scholar] [Crossref]

11. G. Amsaveni, R. Purnachandrigaa, M. Selvanayaki, and S. Vishnupriya,“Border Alert System for Fishermen Using GPS,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), vol. 10, no. 3, pp. 63-66, March 2023. [Google Scholar] [Crossref]

12. A. Senthil Kumar, P. Karthick, R. Saravanan,“Real Time Fisherman Safety System UsingGPSandWireless Communication,”International Journal of Scientific Research in Computer Science, 2023. [Google Scholar] [Crossref]

13. M. Nithin, V. Arun Kumar, K. Rakesh,“Design of IoT Based Smart Marine Monitoring System,”International Journal of Advanced Computer Science and Applications, 2023. [Google Scholar] [Crossref]

14. B. A. Anandh, et al., “Alert system of fisherman for secure navigation,” Journal of Physics: Conference Series, vol. 2267, no. 1, p. 012007, 2022. [Google Scholar] [Crossref]

15. S. K. Sharma, R. Gupta,“Long Range Communication in IoT Using LoRa Technology,”IEEE International Conference on Communication Systems, 2021. [Google Scholar] [Crossref]

16. J. Arun, P. Dinesh Kumar, M. Balamurugan,“Marine Environmental Monitoring Using IoT Sensors,”International Journal of Engineering and Technology, 2021. [Google Scholar] [Crossref]

17. H. Lee, K. Ke, and T. Yu, “An IoT-based emergency rescue system for maritime safety,” IEEE Access, vol. 7, pp. 118–129, 2020. [Google Scholar] [Crossref]

18. T. Raza, Z. A. Khan, and S. Ali, “GPS-based vessel tracking and monitoring system using IoT,” International Journal of Computer Applications, vol. 178, no. 7, pp. 22–27, 2020. [Google Scholar] [Crossref]

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