A Water Pollution Source Localization Method in Three-dimensional Space Using Sensor Networks

被引：0
|
作者：
Feng, Zheng [1 ]
Yang, Jun [1 ]
Luo, Xu [2 ]
机构：
[1] Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan 430081, Hubei, Peoples R China
[2] Zunyi Med Univ, Dept Informat Engn, Zunyi 563000, Peoples R China
来源：
PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2017年
基金：
美国国家科学基金会;
关键词：
water environment; pollution source localization in three-dimensional space; spatial-temporal sample; sensor networks; UKF;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Most existing water pollution source localization methods via sensor networks focus on two-dimensional pollution source. In this paper a three-dimensional water pollution source localization problem is discussed, and the spatial-temporal Unscented Kalman Filter(UKF) based on concentration samples in time and space is applied to solve the problem. In the simulation part, the performances of the spatial-temporal UKF and the temporal UKF are compared. The simulation results show that the localization based on spatial-temporal UKF performs better and has a higher stability, although the localization results of the methods are affected by the number of sensor nodes.
引用
收藏
页码：1055 / 1060
页数：6
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