Multi-theme hierarchical monitoring method for wireless sensor networks

Wireless Networks - Trang 1-11 - 2023
Chuiju You1,2, Guanjun Lin1, Lili Sun1, Shaoyu Zhao1
1School of Information Engineering, Sanming University, Sanming, China
2Fujian Provincial Key Laboratory of Agricultural Internet of Things Application, Sanming, China

Tóm tắt

In large-scale industrial and agricultural production environments, many nodes of the Internet of Things (IoT) were deployed. These nodes are of various types and contain a wide range of domain-related themes, and their distribution is of theme and hierarchy. Starting from the thematic and hierarchical nature of the IoT, this paper proposes the concept of local thematic structure in wireless sensor networks (WSN), and establishes a hierarchical model of the thematic structure in WSN, presenting methods of thematic structure identification, hierarchical structure identification, and hierarchical aggregation of theme messages in WSN. A real-time monitoring system for WSN based on Kafka was established through simulation experiments on agricultural greenhouse WSN (including four themes: temperature, humidity, light intensity, and CO2 concentration). The experimental results have substantiated the objective existence of thematic structure in WSN, as well as the efficacy of the message hierarchy transmission models and algorithms derived from the thematic structure.The research results can be extended and applied to the management of graphically structured scenarios such as the urban brain, smart communities, and intelligent transportation, which is of universal significance to the development of the intelligent IoT in the era of the IoT.

Tài liệu tham khảo

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