D. Mohanapriya,
R. Indumathi,
S. Deepika,
P. Lavanya,
- Assistant Professor, Department of Computer Science and Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India
- Student, Department of Computer Science and Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India
- Student, Department of Computer Science and Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India
- Student, Department of Computer Science and Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India
Abstract
The increasing frequency of extreme weather events, rising sea levels, and threats to marine biodiversity This paper explores the application of IoT in enhancing real-time ocean monitoring and early warning systems, focusing on the deployment of smart sensors, connected buoys, and data analytics to collect key parameters such as temperature, salinity, pH, and wave activity. To preserve and responsibly utilise the seas, oceans, and marine resources in support of sustainable growth. One of the major challenges in achieving this goal is the lack of comprehensive, real-time data on ocean health and the ability to respond promptly to emerging threats such as pollution, overfishing, climate change impacts, and marine biodiversity loss. The Real-Time Ocean Monitoring and Early Warning System leverages Internet of Things (IoT) sensors, satellite technology, and AI-powered analytics to address these challenges, providing continuous, real-time monitoring of critical ocean parameters and enabling early detection of environmental risks. These IoT-enabled devices communicate wirelessly, providing continuous data to predictive models that help identify early signs of natural hazards, such as tsunamis, hurricanes, and harmful algal blooms. By facilitating rapid data transfer and alert systems, IoT-based monitoring strengthens marine resource management, coastal protection, and disaster preparedness, empowering stakeholders to respond proactively to potential threats. This paper highlights the potential of IoT to make ocean monitoring more accurate, responsive, and accessible, providing valuable insights into the health of marine ecosystems and the safety of coastal communities.
Keywords: Internet of things (IoT) in ocean monitoring, real-time data collection, early warning systems, marine environmental monitoring, smart sensors, ocean data analytics
[This article belongs to Journal of Instrumentation Technology & Innovations ]
D. Mohanapriya, R. Indumathi, S. Deepika, P. Lavanya. Real-Time Ocean Monitoring and Early Warning Systems with IoT Technology. Journal of Instrumentation Technology & Innovations. 2025; 15(01):13-24.
D. Mohanapriya, R. Indumathi, S. Deepika, P. Lavanya. Real-Time Ocean Monitoring and Early Warning Systems with IoT Technology. Journal of Instrumentation Technology & Innovations. 2025; 15(01):13-24. Available from: https://journals.stmjournals.com/joiti/article=2025/view=195500
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Journal of Instrumentation Technology & Innovations
| Volume | 15 |
| Issue | 01 |
| Received | 02/01/2025 |
| Accepted | 10/01/2025 |
| Published | 27/01/2025 |
| Publication Time | 25 Days |
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