文献类型：期刊文献

英文题名：A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality

作者：Huang, Xiaoci[1,2];Yi, Jianjun[1];Chen, Shaoli[1];Zhu, Xiaomin[1]

机构：[1]E China Univ Sci & Technol, Dept Mech Engn, Shanghai 200237, Peoples R China;[2]Shanghai Univ Engn Sci, Inst Automot Engn, Shanghai 201620, Peoples R China

年份：2015

卷号：15

期号：11

起止页码：29273

外文期刊名：SENSORS

收录：;EI(收录号：20154801607927);WOS:【SCI-EXPANDED(收录号:WOS:000365686400096)】；

基金：This paper was supported by the Research Foundation of Science and Technology Commission of Shanghai under Grant No. 10DZ1500200, the Natural Science Fund of China (NSFC) under Grant Nos. 50975088, 51275173, and 51575186, the Fundamental Research Funds for the Central Universities under Grant No. WH0913009, Shanghai Pujiang Program under Grant No. PJ201000353, and Shanghai Software and IC industry Development Special Fund under Grant No. 120493.

语种：英文

外文关键词：WSN; decision; monitor; lake water

摘要：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.