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.
Highlights
When monitoring lake water quality, one must deal with a very complex and harsh environment.Wireless sensors are used to meet the demands of real-time online monitoring over large water areas, complex terrains, or remote areas
The results show that the total execution time is not very high and enough for the water-quality monitoring
This paper proposes a method using a middleware based on ontology and Semantic Web Rule Language (SWRL) rules for Wireless Sensor Network (WSN)
Summary
When monitoring lake water quality, one must deal with a very complex and harsh environment.Wireless sensors are used to meet the demands of real-time online monitoring over large water areas, complex terrains, or remote areas. When monitoring lake water quality, one must deal with a very complex and harsh environment. WSN nodes typically use an independent power supply, which means they can be deployed in large-scale, complex environments. This means that WSN nodes have very limited energy, memory, and computing resources. Consider the example of lake water quality monitoring using a WSN. This can be a harsh or dangerous environment. For lake water quality monitoring WSNs, instead of using alternative energy sources, we typically implement effective strategies for reducing the energy consumption and prolonging the life of the network. Suitable management methods for WSNs significantly improve the network performance, reduce energy consumption, and prolong the lifetime of the entire network
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