Research and Development of Wireless Sensor Network Detection Software

This paper investigates the technology of sensor network node parameter monitoring software and designs a complete monitoring software solution in conjunction with a specific application scenario of greenhouse monitoring. The communication data verification algorithm is thoroughly studied in this study, and the discussion and research on the nonlinear calibration algorithm of sensor parameters in data processing are conducted. The CRC cyclic redundancy algorithm and the least squares method are employed in the subsequent software design for relevant data processing.The real-time monitoring system is based on sensor network technology, integrating measurement and control to achieve remote monitoring. The system formats the data and uploads it to the host computer via COM serial communication according to the set transmission mode and communication protocol. Upon receiving a series of data packets, the system analyzes the data, dynamically displays it in real-time, issues normal or alarm messages, and notifies the system through different means. The software of this system demonstrates good operational performance, meeting the basic requirements of the application scenario. It possesses excellent monitoring real-time capability, openness, and compatibility, providing comprehensive information and decision support for sensor network node parameter monitoring.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/spic62469.2024.10691613
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
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article

Research and Development of Wireless Sensor Network Detection Software

Hong Wang, Yue Zhou, Xiaotong Zhou, Siming Huang
Wireless Sensor Networks and IoT
article

Research and Development of Wireless Sensor Network Detection Software

Hong Wang, Yue Zhou, Xiaotong Zhou, Siming Huang
article en

Abstract

This paper investigates the technology of sensor network node parameter monitoring software and designs a complete monitoring software solution in conjunction with a specific application scenario of greenhouse monitoring. The communication data verification algorithm is thoroughly studied in this study, and the discussion and research on the nonlinear calibration algorithm of sensor parameters in data processing are conducted. The CRC cyclic redundancy algorithm and the least squares method are employed in the subsequent software design for relevant data processing.The real-time monitoring system is based on sensor network technology, integrating measurement and control to achieve remote monitoring. The system formats the data and uploads it to the host computer via COM serial communication according to the set transmission mode and communication protocol. Upon receiving a series of data packets, the system analyzes the data, dynamically displays it in real-time, issues normal or alarm messages, and notifies the system through different means. The software of this system demonstrates good operational performance, meeting the basic requirements of the application scenario. It possesses excellent monitoring real-time capability, openness, and compatibility, providing comprehensive information and decision support for sensor network node parameter monitoring.

Shenyang Ligong University (CN), UNSW Sydney (AU)
Openalex Percentile: Top 81%
Wireless Sensor Networks and IoT
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