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Evaluation of LoRa Technology in Flooding Prevention Scenarios

机译:洪水防洪情景评价Lora技术

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摘要

Global climate change originates frequent floods that may cause severe damage, justifying the need for real-time remote monitoring and alerting systems. Several works deal with LoRa (Long Range) communications over land and in the presence of obstacles, but little is known about LoRa communication reliability over water, as it may happen in real flooding scenarios. One aspect that is known to influence the communication quality is the height at which nodes are placed. However, its impact in water environments is unknown. This is an important aspect that may influence the location of sensor nodes and the network topology. To fill this gap, we conducted several experiments using a real LoRa deployment to evaluate several features related to data communication. We considered two deployment scenarios corresponding to countryside and estuary environments. The nodes were placed at low heights, communicating, respectively, over the ground and over the water. Measurements for packet loss, received signal strength indicator (RSSI), signal-to-noise ratio (SNR) and round-trip time (RTT) were collected during a period of several weeks. Results for both scenarios are presented and compared in this paper. One important conclusion is that the communication distance and reliability are significantly affected by tides when the communication is done over the water and nodes are placed at low heights. Based on the RTT measurements and on the characteristics of the hardware, we also derive a battery lifetime estimation model that may be helpful for the definition of an adequate maintenance plan.
机译:全球气候变化源于可能导致严重损害的频繁洪水,证明需要实时远程监控和警报系统的需求。几个工程处理Lora(远程)通信在土地上以及在存在障碍物的情况下,但对水的洛拉通信可靠性很少,因为它可能发生在真正的洪水场景中。已知影响通信质量的一个方面是放置节点的高度。然而,它在水环境中的影响是未知的。这是可能影响传感器节点和网络拓扑的位置的重要方面。为了填补这种差距,我们使用真正的Lora部署进行了几个实验,以评估与数据通信相关的多个功能。我们考虑了与农村和河口环境相对应的两种部署方案。节点以低高度置于低高度,分别在地面和水面上汇流。在几周内收集丢包,接收信号强度指示器(RSSI),信噪比(SNR)和往返时间(RTT)的测量。在本文中提出并比较了这两种情况的结果。一个重要的结论是,当通过水中的通信完成时,潮汐在低高高度下延伸时,通过潮汐受到潮汐的可靠性受到显着影响的。基于RTT测量和硬件的特性,我们还导出了电池寿命估计模型,可能有助于定义足够的维护计划。

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