An agent-based wireless sensor network for water quality data collection

Authors:
M. S. Garcia;Diana Carvalho;Olga Zlydareva;Conor Muldoon;B. F. Masterson;Michael J. O'Grady;W. G. Meijer;J. J. O'Sullivan;Gregory M. P. O'Hare
Affiliations:
CLARITY: Centre for Sensor Web Technologies, University College Dublin(UCD), Dublin, Ireland;CLARITY: Centre for Sensor Web Technologies, University College Dublin(UCD), Dublin, Ireland;CLARITY: Centre for Sensor Web Technologies, University College Dublin(UCD), Dublin, Ireland;CLARITY: Centre for Sensor Web Technologies, University College Dublin(UCD), Dublin, Ireland;School of Biomolecular & Biomedical Science, Conway Institute, University College Dublin(UCD), Dublin, Ireland;CLARITY: Centre for Sensor Web Technologies, University College Dublin(UCD), Dublin, Ireland;School of Biomolecular & Biomedical Science, Conway Institute, University College Dublin(UCD), Dublin, Ireland;School of Civil, Structural & Environmental Engineering, University College Dublin(UCD), Dublin, Ireland;CLARITY: Centre for Sensor Web Technologies, University College Dublin(UCD), Dublin, Ireland
Venue:
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
Year:
2012

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Abstract

Future generation intelligent systems will harvest embedded intelligence as a means of delivering new and innovative services in diverse domains. Amongst the most challenging scenarios are those that consist of Wireless Sensor Networks (WSNs) as their functional operating constraints are significant. This paper proposes the use of in-network data aggregation techniques to enable the efficient acquisition of data in a water quality forecasting WSN application. Such an approach reduces the energy required for data transmission by collecting statistics from the network rather than analyzing the raw data centrally. Specifically, clustering points, where aggregation occurs, are modelled as mobile intelligent agents.