Reliable Data Fusion of Hierarchical Wireless Sensor Networks With Asynchronous Measurement for Greenhouse Monitoring

被引：75

作者：

Bai, Xingzhen ^{[1
]}

Wang, Zidong ^{[1
,2
]}

Sheng, Li ^{[3
]}

Wang, Zhen ^{[1
]}

机构：

[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China

[2] Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, Middx, England

[3] China Univ Petr East China, Coll Informat & Control Engn, Qingdao 266580, Peoples R China

来源：

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2019年 / 27卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Data fusion; greenhouse monitoring; Kalman filter; multirate measurement; wireless sensor networks (WSNs); TIME-VARYING DELAYS; CONTROL-SYSTEMS; CLIMATE;

D O I：

10.1109/TCST.2018.2797920

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates the data fusion problem of wireless sensor networks (WSNs) for the greenhouse monitoring system. Considering the characteristics of local consistency and slow change of the greenhouse environmental information, the hierarchical structure of WSNs is proposed for the greenhouse monitoring system, and the two-stage data fusion scheme is presented for the hierarchical network. In the first stage, the weighted data fusion algorithm of WSNs on local state estimation is designed for the cluster, which would improve the fusion accuracy and the ability of anti-interference of the system. Moreover, the multirate measurement mode is proposed to reduce the energy consumption of WSNs under the premise of satisfying the information sensing performance of the system. In the second stage, the data fusion at the sink node is conducted on the support function with the consistency analysis of data from different clusters. The simulation analysis on the greenhouse temperature information is provided to show the effectiveness of the proposed data fusion scheme.

引用

页码：1036 / 1046

页数：11

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