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首页> 外文期刊>Wireless personal communications: An Internaional Journal >LoRa-Based WSNs Construction and Low-Power Data Collection Strategy for Wetland Environmental Monitoring
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LoRa-Based WSNs Construction and Low-Power Data Collection Strategy for Wetland Environmental Monitoring

机译：基于LORA的WSNS建筑和低功耗数据收集策略，用于湿地环境监测

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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.
机译：被称为“地球肾脏”的湿地是一种具有许多资源的生态系统。监测湿地环境包括监测水质，空气和土壤。温度，pH值，浊度，溶解氧（DO），水位，水，照度，PM2.5，有害气体和土壤水分的参数对湿地的动物的存活尤为重要。实时监测湿地环境有利于了解整个地区环境变化的原因和趋势，以便及时制定环境变更应急战略。作者介绍了基于多传感器组合模块（MSCM）和LORA的实时监控系统。该系统有两种类型的MSCM，一个是水，另一个用于空气。用于水的MSCM由六个传感器组成，例如水温传感器，pH传感器，浊度传感器，溶解氧传感器，电导率传感器和水位传感器，以及STM32核心处理器，具有低功耗和高速的优点。数据收集节点通过具有低功耗，高速和宽覆盖率的LORA模块将收集的数据上传到基站。基站和集合节点在星形中连接。 LoraWan协议用于实现采集节点和接收器之间的通信。在代码率为4/5的情况下，带宽为500 kHz，扩散因子为12，系统的有效吞吐量可以达到1172个BPS。同时，基于模糊决定的数据融合算法被设计用于采集节点上的数据处理，以减少上传数据的量，降低功耗并提高网络吞吐量。实验表明，该系统具有强的稳定性，灵活的网络，低功耗，长通讯距离，以及适用于湿地环境监测。

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