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Topic

Technologies and technical equipment for agriculture and food industry

Volume

Volume 68 / No. 3 / 2022

Pages : 435-447

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LOW POWER CONSUMPTION MONITORING METHOD OF AGRICULTURAL GREENHOUSE ENVIRONMENT BASED ON WIRELESS SENSOR NETWORK

基于无线传感器网络的农业温室环境的低功耗监测方法

DOI : https://doi.org/10.35633/inmateh-68-43

Authors

(*) Bing ZHANG

Suqian College

(*) Corresponding authors:

[email protected] |

Bing ZHANG

Abstract

In order to improve the reliability of wireless sensor networks and reduce the power consumption in the monitoring process, the low power consumption monitoring method of agricultural greenhouse environment based on wireless sensor networks is studied. The terminal node of wireless sensor network is constructed by using CO2 sensor, temperature and humidity sensor and illumination sensor. In the sensor network layout stage, in order to reduce the node power consumption, considering the number of nodes and network coverage, the cuckoo search algorithm is used to optimize the node layout model. The communication module uses LEACH protocol to transmit the environmental data collected by the terminal node to the monitoring center. The cluster head link is selected in LEACH protocol to save energy. After receiving the environmental data collected by the terminal node, the monitoring center uses multi-dimensional data to identify and locate abnormal environmental data according to the correlation between multi-modal data streams in the same node, so as to realize the environmental monitoring of agricultural greenhouse. The experimental results show that the data transmission of the research method is stable and reliable, and the node’s power consumption in the process of internal environment monitoring of the research object is effectively reduced.

Abstract in Chinese

为了提高无线传感器网络的可靠性并减少监视过程中的功耗,研究了基于无线传感器网络的农业温室环境的低功耗监测方法。无线传感器网络的末端节点是使用CO2传感器,温度和湿度传感器和照明传感器构建的。在传感器网络布局阶段,为了减少节点功耗,考虑到节点和网络覆盖范围,杜鹃搜索算法用于优化节点布局模型。通信模块使用Leach协议将终端节点收集的环境数据传输到监视中心。簇头链接在Leach协议中选择以节省能源。在收到终端节点收集的环境数据之后,监视中心使用多维数据根据同一节点中的多模式数据流之间的相关性来识别和定位异常的环境数据,以实现对农业监测的环境监视温室。实验结果表明,研究方法的数据传输是稳定且可靠的,并且节点在内部环境监测过程中的功耗有效地减少了。

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