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Sensors 2015, 15(11), 29273-29296; doi:10.3390/s151129273

A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality

1
Department of Mechanical Engineering, East China University of Science and Technology, Shanghai 200237, China
2
Institute of Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 9 September 2015 / Revised: 8 November 2015 / Accepted: 11 November 2015 / Published: 19 November 2015
(This article belongs to the Section Sensor Networks)

Abstract

Online monitoring and water quality analysis of lakes are urgently needed. A feasible and effective approach is to use a Wireless Sensor Network (WSN). Lake water environments, like other real world environments, present many changing and unpredictable situations. To ensure flexibility in such an environment, the WSN node has to be prepared to deal with varying situations. This paper presents a WSN self-configuration approach for lake water quality monitoring. The approach is based on the integration of a semantic framework, where a reasoner can make decisions on the configuration of WSN services. We present a WSN ontology and the relevant water quality monitoring context information, which considers its suitability in a pervasive computing environment. We also propose a rule-based reasoning engine that is used to conduct decision support through reasoning techniques and context-awareness. To evaluate the approach, we conduct usability experiments and performance benchmarks. View Full-Text
Keywords: WSN; decision; monitor; lake water WSN; decision; monitor; lake water
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Huang, X.; Yi, J.; Chen, S.; Zhu, X. A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality. Sensors 2015, 15, 29273-29296.

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