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Special Issue In IEEE Internet of Things Journal

Updated: Jul 6, 2020

“Connected Smart Sensors Systems for Water Quality Monitoring”

The deterioration of water quality (WQ), caused by drivers such as climatic/seasonal changes, global warming, human activities or industrial waste is a major global concern.

Requirement for Future Water Quality Monitoring

Commercial Water quality sensors for in situ-monitoring using buoys and boats have been deployed to broaden data coverage in space and time. Yet, despite these options becoming more readily available, there is a gap between the technology and the end-user and a disconnect between ‘data quality’, ‘data gathering’ ‘ and ‘data analysis’.

Focus of Special Issue

This special issue focusses on the connected smart sensing technologies for water quality monitoring, particularly looking for solutions that highlight improvements in: (a) Data Quality, with innovative sensors, and sensing materials; (b) Data Gathering, using conventional means such sensorised buoys, boats as well as robots (drones, marine robots) based sensor deployment for remote monitoring, and (c) Data Analysis using techniques widely used for IoT, artificial intelligence (AI), and machine learning. Although this SI focusses on water quality monitoring, the concept of connected sensor system-based monitoring also applies to environment monitoring and health monitoring. Thus, this special issue will be the first choice of researchers to explore the potential of connected sensing technologies, electronics/communication, robotics, and AI for data analysis and management

Major topics covered in various aspects of water quality monitoring

1. Connected Physical/Chemical/Biosensors

2. Sensors for extreme environmental applications

3. Electronics and Packaging solutions for Underwater sensors readouts.

4. Wireless Communications system for water surveillance

5. Aerial vehicles/drones for autonomous sensor deployment and spatial water quality observations

6. Innovative sensor deployment using conventional approaches such as buoys, boats.

7. Data analysis from multi-sensors using artificial intelligence

8. Interconnected network system for water quality monitoring in lakes or rivers

9. Influences of hydro-chemical properties of under water sources on sensors.

10. Models of water bodies using connected sensors

11. Eco-friendly or disposable sensors for water monitoring.

Guest Editors

Dr. Libu Manjakkal, University of Glasgow, UK. Email:

Prof. Hanumant Singh, Northeastern University, USA. Email: Prof. Mehmet Yuce, Monash University, Australia. Email: Prof. Ravinder Dahiya, University of Glasgow, UK: Email (

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