Guidelines and Challenges Towards the Implementation of Intelligent Sensing Techniques in a Water Quality Prediction Application

Marcos X. Álvarez, Moisés Sánchez, Olga Zlydareva, Gregory M. P. O'Hare, Michael J. O'Grady

2014

Abstract

SmartCoasts is an INTERREG 4A project aimed at providing novel solutions for real-time monitoring and forecasting of coastal water quality. The intended predictive system relies on freely available online weather forecasts and a suite of real-time meteorological data measured across a river catchment. In a preliminary stage, a prototype has been developed taking the real-time data from GPRS loggers deployed at strategically located stations according to a centralised architecture. Even though such system has proven its suitability providing accurate predictions, certain pitfalls that hamper usability have been detected. Adding intelligent capabilities to the sensing nodes might help to overcome such situation. This paper presents a general overview of the current situation and discusses some of the major challenges and difficulties that need to be faced in order to set up a really smart Environmental Wireless Sensor Network.

References

  1. Arampatzis, T., Lygeros, J., and Manesis, S. (2005). A survey of applications of wireless sensors and wireless sensor networks. In Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC 7805, and the 13th Mediterranean Conference on Control and Automation, MED 7805, pages 719-724.
  2. Bedri, Z., Corkery, A., O'Sullivan, J., Í lvarez, M. X., Erichsen, A., Deering, L., Demeter, K., O'Hare, G. M. P., Meijer, W. G., and Masterson, B. (2013). An integrated catchment-coastal model for real-time water quality predictions. Environmental Modelling and Software. Submitted, under review.
  3. CobWeb (2013). http://cobwebproject.eu. Accessed November 30, 2013.
  4. Hwang, J., Shin, C., and Yoe, H. (2010). Study on an agricultural environment monitoring server system using wireless sensor networks. Sensors, 10(12):11189- 11211.
  5. IsodaqFrog (2013). http://www.isodaq.co.uk/product/frogrx-data-logger. Accessed November 30, 2013.
  6. Le Dinh, T., Hu, W., Sikka, P., Corke, P. I., Overs, L., and Brosnan, S. (2007). Design and deployment of a remote robust sensor network: Experiences from an outdoor water quality monitoring network. In Proceedings of the 32nd IEEE Conference on Local Computer Networks, pages 799-806. IEEE Computer Society.
  7. Martinez, K., Hart, J. K., and Ong, R. (2004). Environmental sensor networks. Computer, 37(8):50-56.
  8. SmartCoasts (2013). http://www.smartcoasts.eu. Accessed November 30, 2013.
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Paper Citation


in Harvard Style

X. Álvarez M., Sánchez M., Zlydareva O., M. P. O'Hare G. and O'Grady M. (2014). Guidelines and Challenges Towards the Implementation of Intelligent Sensing Techniques in a Water Quality Prediction Application . In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: MOEOD, (SENSORNETS 2014) ISBN 978-989-758-001-7, pages 428-431. DOI: 10.5220/0004902104280431


in Bibtex Style

@conference{moeod14,
author={Marcos X. Álvarez and Moisés Sánchez and Olga Zlydareva and Gregory M. P. O'Hare and Michael J. O'Grady},
title={Guidelines and Challenges Towards the Implementation of Intelligent Sensing Techniques in a Water Quality Prediction Application},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: MOEOD, (SENSORNETS 2014)},
year={2014},
pages={428-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004902104280431},
isbn={978-989-758-001-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: MOEOD, (SENSORNETS 2014)
TI - Guidelines and Challenges Towards the Implementation of Intelligent Sensing Techniques in a Water Quality Prediction Application
SN - 978-989-758-001-7
AU - X. Álvarez M.
AU - Sánchez M.
AU - Zlydareva O.
AU - M. P. O'Hare G.
AU - O'Grady M.
PY - 2014
SP - 428
EP - 431
DO - 10.5220/0004902104280431