A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality.
A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality.
复制标题
基于无线传感器网络的湖泊水质监测决策支持方法
DOI：
10.3390/s151129273
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发表时间：
2015-11-19
期刊：
影响因子：
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通讯作者：
Zhu X
中科院分区：
文献类型：
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作者：
Huang X;Yi J;Chen S;Zhu X
湖泊的在线监测和水质分析是迫切需要的。一种可行而有效的方法是使用无线传感器网络（WSN）。湖泊水环境，像其他现实世界的环境一样，呈现出许多变化和不可预测的情况。为了保证在这种环境下的灵活性，WSN节点必须准备好应对各种情况。提出了一种用于湖泊水质监测的WSN自组态方法。该方法基于语义框架的集成，其中推理器可以对WSN服务的配置做出决策。我们提出了一个WSN本体和相关的水质监测上下文信息，并考虑了它在普适计算环境中的适用性。我们还提出了一个基于规则的推理引擎，该引擎通过推理技术和上下文感知来进行决策支持。为了评估这种方法，我们进行了可用性实验和性能基准测试。
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.