Volume 15, Issue 10 · IJARST · ISSN 2319-1783 / 2320-1126

IoT-Based Maritime Safety and Boundary Alert System for Small Fishing Vessels

IoT-Based Maritime Safety and Boundary Alert System for Small Fishing Vessels is an open-access, peer-reviewed research paper by M.Ganesh Kumari, C.Nishkala, R.J.Rajshree and M.Sathana, published in Volume 15, Issue 10 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

M.Ganesh Kumari, C.Nishkala, R.J.Rajshree and M.Sathana

Abstract

Maritime safety is a significant concern for small fishing vessels, particularly when fishermen operate near predefined or restricted maritime boundaries. The absence of timely boundary-related warnings may cause a vessel to unintentionally approach or cross a designated boundary. Conventional location monitoring can provide geographical information, but an integrated system that interprets the vessel’s location, generates local warnings, and notifies a shore-side contact can provide additional assistance during navigation. To address this requirement, this paper presents an IoT-based Maritime Safety and Boundary Alert System for Small Fishing Vessels using GPS location monitoring, microcontroller-based processing, and GSM communication. The proposed system is developed around an ESP32 microcontroller, a NEO-6M Global Positioning System (GPS) module, a SIM800A Global System for Mobile Communications (GSM) module, an LCD, and a buzzer. The GPS module obtains the vessel’s geographical coordinates in terms of latitude and longitude. These coordinates are supplied to the ESP32, which processes the location information and evaluates the vessel’s distance from a predefined maritime boundary using the configured monitoring logic. The calculated distance and corresponding operating status are displayed on the LCD, enabling the fisherman to observe the vessel’s position relative to the boundary. When the vessel approaches the configured boundary region, the controller activates the buzzer and displays a warning message. When the programmed boundary-crossing condition is detected, the GSM module is used to transmit an SMS notification to a registered mobile number. The project prototype illustrates the operating sequence through GPS initialization messages, GPS-fix status, distance display, proximity warnings, and a boundary-alert message associated with SMS notification. The demonstration outputs include a safe-side distance indication of 5.25 km and warning messages associated with distances of 4 km and 2 km. These values are presented as displayed demonstration outputs rather than as measurements of system accuracy or validated safety thresholds. The block diagram and working-model image illustrate the integration of the principal hardware components, while the LCD outputs provide a visual representation of the monitoring sequence. The proposed design combines location monitoring, local warning, and remote notification in a compact embedded-system prototype intended to support boundary awareness for small fishing vessels.

Keywords: Maritime Safety, Fishing Vessels, Internet of Things, ESP32, NEO-6M GPS, Boundary Monitoring, SIM800A GSM, LCD, Buzzer, Geofencing.

DOI: https://doi.org/10.62226/ijarst20262872

 

References

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, issue 2, January 2025. DOI: 10.48175/IJARSCT-23315.

R. Praba, “Fisherman Border Alert System Using GPS,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), vol. 13, issue 3, March 2025. DOI: 10.17148/IJIREEICE.2025.13332.

D. Mythily, R. Helan Renila, T. Keerthana, S. Hamaravathi, and P. Preethi, “IoT Based Fisherman Border Alert and Weather Alert Security System,” International Journal of Engineering Research & Technology (IJERT), vol. 8, issue 07, 2020.

DOI

10.62226/ijarst20262872

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How do you cite this paper?

M.Ganesh Kumari, C.Nishkala, R.J.Rajshree and M.Sathana — “IoT-Based Maritime Safety and Boundary Alert System for Small Fishing Vessels.” International Journal of Advanced Research in Science and Technology (IJARST), Volume 15, Issue 10. DOI: 10.62226/ijarst20262872.

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