Cloud-based IoT system for real-time Harmful Algal Bloom monitoring: seamless ThingsBoard integration via MQTT and REST API

Annas, Ammar Haziq and Zainuddin, Ahmad Anwar and Amir Hussin, Amir 'Aatieff and Nik Mohd Kamal, Nik Nor Muhammad Saifudin and Mohammad Noor, Normawaty and Mohd Razali, Roziawati (2025) Cloud-based IoT system for real-time Harmful Algal Bloom monitoring: seamless ThingsBoard integration via MQTT and REST API. In: 2024 IEEE 22nd Student Conference on Research and Development (SCOReD), 19-20 December 2024, KUALA LUMPUR.

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Abstract

Harmful Algal Blooms (HABs) pose a severe threat to aquatic ecosystems, drinking water supplies, and public health. Existing water quality monitoring methods are often costly and complex thus limiting their accessibility and scalability for continuous monitoring. This work proposes a scalable, cloud-based IoT solution for real-time water quality monitoring, specifically targeting HAB detection using costeffective sensors. The system architecture utilizes Microsoft Azure hosted ThingsBoard platform for data management, integrating telemetry data from sensors via MQTT and REST API protocols to enable reliable, low-latency data transmission and storage. Through a combination of numeric and graphbased dashboards, end users can monitor both real-time and historical data, supporting early anomaly detection and rapid response. This work uses a cloud-based system to manage IoT devices, ensures secure data transmission, and displays the data on ThingsBoard without needing extra cloud services. The proposed system is cost-effective, flexible, and easily extendable to different monitoring environments. In addition, it could be contributing to proactive water resource man

Item Type:	Proceeding Paper (Slide Presentation)
Uncontrolled Keywords:	IoT, Water Quality Monitoring, Cloud Integration, ThingsBoard, Azure VM, Real-Time Data Visualization, Telemetry, REST API, MQTT, Non-Industrial Sensors, Hab
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Ts.Dr. Ahmad Anwar Zainuddin
Date Deposited:	25 Feb 2025 16:55
Last Modified:	12 Mar 2025 11:08
URI:	http://irep.iium.edu.my/id/eprint/119811

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