A demonstration of wireless sensing for long term monitoring of water quality

  • Fiona Regan
  • , Antoin Lawlor
  • , Brendan O. Flynn
  • , J. Torres
  • , R. Martinez-Catala
  • , C. O'Mathuna
  • , John Wallace

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

At a time when technological advances are providing new sensor capabilities, novel network capabilities, long-range communications technologies and data interpreting and delivery formats via the World Wide Web, we never before had such opportunities to sense and analyse the environment around us. However, the challenges exist. While measurement and detection of environmental pollutants can be successful under laboratory-controlled conditions, continuous in-situ monitoring remains one of the most challenging aspects of environmental sensing. This paper describes the development and test of a multi-sensor hetrogenous real-time water monitoring system. A multi-sensor system was deployed in the River Lee Co. Cork, Ireland to monitor water quality parameters such as pH, temperature, conductivity, turbidity and dissolved oxygen. The R. Lee comprises of a tidal water system that provides an interesting test site to monitor. The multi-sensor system set-up is described and results of the sensor deployment and the various challenges are discussed.

Original languageEnglish
Title of host publication2009 IEEE 34th Conference on Local Computer Networks, LCN 2009
Pages819-825
Number of pages7
DOIs
Publication statusPublished - 2009
Event2009 IEEE 34th Conference on Local Computer Networks, LCN 2009 - Zurich, Switzerland
Duration: 20 Oct 200923 Oct 2009

Publication series

NameProceedings - Conference on Local Computer Networks, LCN

Conference

Conference2009 IEEE 34th Conference on Local Computer Networks, LCN 2009
Country/TerritorySwitzerland
CityZurich
Period20/10/0923/10/09

Keywords

  • Biofouling
  • Multi-sensor system
  • Real-time monitoring
  • Water quality

Fingerprint

Dive into the research topics of 'A demonstration of wireless sensing for long term monitoring of water quality'. Together they form a unique fingerprint.

Cite this