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