Autonomous Water Source Monitoring System
Ali Sekander Alif, a PhD student and international exchange researcher from CY Tech, Cergy Université, France, currently in his second year of the engineering cycle in Information Systems Engineering (ING 2 GSI), has joined University Metropolitan Tirana (UMT) for a four-month research internship under the Erasmus+ program. His internship is part of his ongoing doctoral research in the field of autonomous environmental monitoring systems.
Ali’s work at UMT is carried out under the supervision of Dr. Elton Domnori, Head of the Computer Engineering Department at UMT, and Lylia Alouache, Coordinator of the Second Year of the Computer Engineering Program and Computer Science Lecturer at CY Tech.
Research Focus
Ali’s research internship, titled “Autonomous Water Source Monitoring System,” contributes to his PhD work by designing and implementing an intelligent, autonomous framework for real-time monitoring of key water source parameters. The project addresses the growing need for efficient, self-operating environmental monitoring systems that can provide accurate, timely data while minimizing human intervention.
The system under development is designed to measure critical water quality indicators such as:
- Temperature
- pH levels
- Dissolved oxygen
To achieve this, the solution integrates a sensor network connected to an Arduino microcontroller for data collection, combined with a distributed network of intelligent nodes running on Raspberry Pi devices. These nodes communicate using a peer-to-peer (P2P) architecture, enabling flexible and scalable deployment.
Coordination and communication between nodes is managed by the JADE (Java Agent DEvelopment) framework, which allows the system to autonomously define and execute exploration and monitoring strategies within a designated area.
Expected Outcomes
By the end of his internship, Ali aims to deliver:
- A functional and reproducible prototype of an autonomous water monitoring system.
- Documentation of the system architecture, implementation details, and findings.
- Contributions to his doctoral research on agent-based, intelligent environmental monitoring solutions.
Mentorship and Collaboration
Throughout his internship, Ali works closely with his supervisors, benefitting from the combined expertise and guidance of UMT and CY Tech. This collaboration exemplifies UMT’s dedication to supporting international doctoral research through the Erasmus+ framework, fostering impactful solutions to real-world environmental challenges.
