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Optimizing 802.15.4 Outdoor IoT Sensor Networks for Aerial Data Collection

机译:优化802.15.4户外物联网传感器网络以进行空中数据收集

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摘要

Rural IoT sensor networks, prevalent in environmental monitoring and precision agriculture, commonly operate over some variant of the IEEE 802.15.4 standard. Data collection from these networks is often challenging, as they may be deployed in remote regions where existing backhaul infrastructure is expensive or absent. With the commercial and industrial success of Unmanned Aircraft Systems (UAS), there is understandable interest in using UASs for delay tolerant data collection from 802.15.4 IoT sensor networks. In this study, we investigate how to optimize 802.15.4 networks for aerial data collection, which, unlike other wireless standards, has not received rigorous evaluation for three-dimensional aerial communication. We analyze experimental measurements from an outdoor aerial testbed, examining how factors, such as antenna orientation, altitude, antenna placement, and obstruction, affect signal strength and packet reception rate. In our analysis, we model and predict the quality of service for aerial data collection, based on these network configuration variables, and contrast that with the Received Signal Strength Indication (RSSI)—a commonly used signal strength metric. We find that network configuration plays a significant role in network quality, which RSSI, a mediator variable, struggles to account for in the presence of high packet loss. We conclude with a discussion of strategies for optimizing sensor network configuration for aerial data collection, in light of our results.
机译:农村物联网传感器网络普遍存在于环境监测和精密农业中,通常在IEEE 802.15.4标准的某些变体上运行。从这些网络收集数据通常具有挑战性,因为它们可能部署在现有回程基础设施昂贵或缺乏的偏远地区。随着无人飞机系统(UAS)在商业和工业上的成功,人们对使用UAS从802.15.4 IoT传感器网络收集可容忍延迟的数据感兴趣。在这项研究中,我们研究如何优化用于空中数据收集的802.15.4网络,与其他无线标准不同,该网络尚未获得对三维空中通信的严格评估。我们分析了室外空中试验台的实验测量结果,研究了诸如天线方向,高度,天线放置和障碍物等因素如何影响信号强度和数据包接收率。在我们的分析中,我们基于这些网络配置变量对空中数据收集的服务质量进行建模和预测,并与常用的信号强度度量标准接收信号强度指示(RSSI)进行对比。我们发现网络配置在网络质量中起着重要作用,在存在高数据包丢失的情况下,RSSI是一个中介变量,很难解决这一问题。根据我们的结果,我们最后讨论了针对空中数据收集优化传感器网络配置的策略。

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