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LoRa-Based WSNs Construction and Low-Power Data Collection Strategy for Wetland Environmental Monitoring

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Abstract

The wetland that known as "the kidney of the earth" is an ecological system with many resources. Monitoring of wetland environment includes the monitoring of water quality, air and soil. The parameters of temperature, pH value, turbidity, dissolved oxygen (DO), water level, conductivity of water, illuminance, PM2.5, harmful gas, and soil moisture is particularly important for the survival of animals in wetland. Real-time monitoring wetland environment is conducive to understanding the causes and trends of environmental change in the whole region, so as to make environmental change emergency strategies timely. The author introduces a real-time monitoring system based on Multi-sensor Combination Module (MSCM) and LoRa. This system has two types of MSCM, one is for water and the other is for air. The MSCM for water consists of six sensors, such as water temperature sensor, pH sensor, turbidity sensor, dissolved oxygen sensor, conductivity sensor, and water level sensor, and stm32 core processor, which has the advantages of low power consumption and high speed. The data collection node uploads the collected data to the base station through a LoRa module with low power consumption, high speed and wide coverage. The base station and the collection node are connected in a star. The LoRaWan protocol is used to realize the communication between acquisition nodes and sink. In the case of code rate is 4/5, bandwidth is 500 kHz and spreading factor is 12, the effective throughput of the system can reach 1172 bps. At the same time, a data fusion algorithm based on fuzzy decision is designed for data processing on the acquisition nodes to reduce the amount of uploaded data, reduce power consumption and improve network throughput. Experiments show that the system has strong stability, flexible networking, low power consumption, long communication distance, and is suitable for wetland environmental monitoring.

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Acknowledgements

This work was supported in part by Hebei Graduate Innovation funding Project CXZZBS201811, Hebei Province, China. This work was supported in part by National Natural Science Foundation Project 31801782, China. This work was supported in part by Baoding Science Technology Research and Development Guidance Program 15ZG023, Baoding, Hebei, China.

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  1. College of Information Science and Technology, Agricultural University of Hebei, Baoding, 071000, China

    Yuchen Jia

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Jia, Y. LoRa-Based WSNs Construction and Low-Power Data Collection Strategy for Wetland Environmental Monitoring. Wireless Pers Commun 114, 1533–1555 (2020). https://doi.org/10.1007/s11277-020-07437-5

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