SmartCoast: A Wireless Sensor Network for Water Quality Monitoring

Authors:
B O'Flynn;Rafael Martinez-Catala;S. Harte;C. O'Mathuna;John Cleary;C. Slater;F. Regan;D. Diamond;Heather Murphy
Affiliations:
University College Cork, Ireland;University College Cork, Ireland;University College Cork, Ireland;University College Cork, Ireland;Dublin City University, Ireland;Dublin City University, Ireland;Dublin City University, Ireland;Dublin City University, Ireland;Marine Institute, Ireland
Venue:
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
Year:
2007

Citing 0
Cited 6

Integrating multiple sensor modalities for environmental monitoring of marine locations

Proceedings of the 6th ACM conference on Embedded network sensor systems
THAWS: automated design and deployment of heterogeneous wireless sensor networks

WSEAS Transactions on Circuits and Systems
THAWS: automated wireless sensor network development and deployment

ICC'08 Proceedings of the 12th WSEAS international conference on Circuits
UWMAIS: ubiquitous water monitoring platform

Cluster Computing
Review: The impact of agricultural activities on water quality: A case for collaborative catchment-scale management using integrated wireless sensor networks

Computers and Electronics in Agriculture
Toward sensor-cloud integration as a service: optimizing three-tier communication in cloud-integrated sensor networks

BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

The implementation of the Water Framework Directive (WFD) across the EU, and the growing international emphasis on the management of water quality is giving rise to an expanding market for novel, miniaturized, intelligent monitoring systems for freshwater catchments, transitional and coastal waters. This paper describes the "SmartCoast" Multi Sensor System for water quality monitoring. This system is aimed at providing a platform capable of meeting the monitoring requirements of the Water Framework Directive. The key parameters under investigation include temperature, phosphate, dissolved oxygen, conductivity, pH, turbidity and water level. The "Plug and Play" capabilities enabled by the Wireless Sensor Network (WSN) platform developed at Tyndall allow for integration of sensors as required are described, as well as the custom sensors under development within the project.