Optimization of power consumption of sensor networks:
Household water quantity and quality measurement case
• Suvo, Safin Ahmed • Rasha, Tashwar Muhammad • Lisan, Md. Khairul Amin • Bhowmik, Mohim
Supervisor- Dr. Md. Kabiruzzaman
Faculty of Engineering, American International University – Bangladesh (AIUB)
Abstract
Designed Prototype
• Water monitoring is essential for ensuring the safety and
quality of drinking water and other household works.
However, water quality can be affected by a variety of
factors. This can lead to waterborne diseases, which can
have a significant impact on human health and the
environment.
• An IoT based water monitoring system can help to
address these challenges by providing real-time data. IoT
sensors can be used to collect data on water quality and
quantity parameters.
• Traditional water quality monitoring systems consumes a
lot of power. Our designed system will showcase the
latest advancements in water monitoring technology and
it also optimizes the power consumptions of the sensors.
Methodology for Achieving Goal
Conclusion & Future Work
Conclusion
Simulated Results
Our designed low power consuming IoT based water monitoring systems
are a promising new technology for improving the quality and safety of
our water supply. This system can collect and transmit data in real time. It
also transmits data to a cloud-based server, where it can be analysed and
visualized which can help to identify and prevent potential problems.
Future Work
• Developing more accurate and reliable sensors.
• Improving the power optimization.
• Developing user-friendly interfaces.
• Integrating IoT systems with other water management systems.
Acknowledgement
 We would like to thank our project advisor, Dr. Md
kabiruzzaman and external supervisor Abrar Fahim
Liaf, for their guidance and support throughout
this project.
 We would also like to thank our groupmates, for
their help and feedback. Their help was essential
and invaluable to complete our project on time.
Key References
•
Li Jinfeng and Cao Shun, A ZigBee-based Aquiculture Water Quality Monitoring
System, International Journal of u- and e- Service, Science and Technology Vol.8,
No. 10 (2015), pp.367-376.
•
T. Sugapriyaa, S. Rakshaya, K. Ramyadevi, M. Ramya, P.G. Rashmi, Smart
water quality monitoring system for real time applications, Int. J. Pure Appl. Math.
118 (2018) 1363–1369.
Department of EEE & CoE
www.engg.aiub.edu
Lisan, Md. Khairul Amin
khairulamin1192@gmail.com
--------------------------Signature of
Supervisor