水稻种植管理系统低延迟数据采集方法:物联网专用室外通信程序

Koichi Tanaka, M. Nishigaki, Miki Sode, T. Mizuno
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引用次数: 5

摘要

为了减轻农业工作负担,研究了利用传感器节点(即田间服务器)监测环境的水稻栽培管理系统。在稻田里安装太阳能板等大型发电设备会妨碍农作,因此很难安装。此外,电源的布线安装也比较困难。由于这些原因,每个传感器节点必须使用电池或其他电源独立供电。此外,考虑到它们在农业季节继续运行,需要低功耗。从费用的角度来看,像3G线路这样需要支付线路使用费的通信网络很难使用。因此,在本文中,我们报告了一种使用LoRa的传输方法,LoRa是物联网的通信标准,不需要支付线路使用费。特别是,我们提出了一种数据收集方法,可以在短时间内收集所有传感器节点的数据。这种方法对于低功耗是有效的。仿真结果表明,该方法可以在最短的时间内收集到所有的数据。此外,还证实了该方法的功耗也低于传统方法。进一步证实,由于传感器节点数量的增加,父节点收集数据所需时间的增长率低于其他方法。我们认为所提出的方法是有用的,可以以低成本有效地传递稻田的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low delay data gathering method for rice cultivation management system: IoT specialized outdoor communication procedure
In order to reduce the burden of agricultural work, rice cultivation management systems using sensor nodes, aka field servers, that monitor the environment are studied. It is difficult to install large power generation devices, such as solar panels, in rice fields as they obstruct farm work. In addition, it is also difficult to install the wiring for power supplies. For these reasons, each sensor node must operate on independent power with batteries or other power sources. Furthermore, given that they continue to operate during the farming season, low power consumption is required. It is difficult to use a communication network that requires a line use fee such as a 3G line from the viewpoint of cost. Therefore, in this paper, we report on a transmission method using LoRa, which is a communication standard for IoT, which does not require a line usage fee. In particular, we propose a data collection method that makes it possible to collect the data of all sensor nodes in a short amount of time. This method is effective for low power consumption. The comparison results with a conventional method using a simulation demonstrate that the proposed method can collect all of the data in the shortest amount of time. Moreover, it was confirmed that the power consumption is also lower than the conventional method. Furthermore, it was confirmed that the rate of increase in time necessary for the parent node to collect data, due to the increase in the number of sensor nodes, is lower than that of the other methods. We believe that the proposed method is useful and can efficiently transmit the situation of a rice field at a low cost.
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