A Multi-Agent Internet of Things Framework for Autonomous Coastal Weather Monitoring and Environmental Intelligence in Southern Philippines
Keywords:
IOT, Sulu, Water Level, Weather MonitoringAbstract
Effective stakeholder engagement is imperative for harnessing the full potential of the IoT-based monitoring system. Collaborative efforts involving government agencies, environmental organizations, and local communities foster knowledge exchange and facilitate the utilization of collected data for informed decision-making and environmental management. Moreover, the establishment of long-term monitoring programs is recommended to track long-term trends and changes in coastal water levels and weather patterns. This study showcases the development and implementation of an IoT-based coastal water level and weather monitoring system in the Sulu Archipelago. The primary objective was to collect real-time data on various environmental parameters, including coastal water levels, temperature, humidity, rainfall, and wind speed, to support effective environmental management in the region. The methodology involved the strategic deployment of sensors. The data collection process was facilitated by employing Raspberry Pi and perform data analysis techniques were applied to extract meaningful insights from the collected data. The study findings demonstrated the feasibility and effectiveness of the implemented IoT-based system in monitoring the targeted environmental parameters. The comparison between the gathered data. This highlights the potential of IoT-based monitoring systems in providing valuable information for coastal environmental management. Expanding the sensor network to cover a broader geographical area enables a comprehensive understanding of the coastal environment. Integrating advanced data visualization tools facilitates better interpretation and presentation of the collected data. Stakeholder engagement, including collaboration with various entities, fosters knowledge exchange and promotes effective utilization of the monitoring system's data. Lastly, establishing long-term monitoring programs facilitates continuous data collection, enabling the monitoring of long-term trends and supporting the implementation of proactive environmental management strategies. By implementing these recommendations, the IoT-based coastal water level and weather monitoring system can be further improved, contributing to more effective environmental management strategies in the Sulu Archipelago and similar coastal regions in the Philippines.
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