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Journal of Sensors
Volume 2017, Article ID 3829894, 8 pages
Research Article

Water Pollution Detection Based on Hypothesis Testing in Sensor Networks

1Department of Information Engineering, Zunyi Medical University, Zunyi 563000, China
2School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China

Correspondence should be addressed to Jun Yang; nc.ude.tsuw@nujgnay

Received 17 October 2016; Revised 10 December 2016; Accepted 15 December 2016; Published 16 January 2017

Academic Editor: Andrea Cusano

Copyright © 2017 Xu Luo and Jun Yang. 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.


Water pollution detection is of great importance in water conservation. In this paper, the water pollution detection problems of the network and of the node in sensor networks are discussed. The detection problems in both cases of the distribution of the monitoring noise being normal and nonnormal are considered. The pollution detection problems are analyzed based on hypothesis testing theory firstly; then, the specific detection algorithms are given. Finally, two implementation examples are given to illustrate how the proposed detection methods are used in the water pollution detection in sensor networks and prove the effectiveness of the proposed detection methods.