IoT Enabling Technologies for Extreme Connectivity Smart Grid Applications

S. Persia, C. Carciofi, M. Barbiroli, Marco Teodori, V. Petrini, Andre Garzia, M. Faccioli
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引用次数: 8

Abstract

Future networks will allow achieving high level of connectivity to respond to novel application needs. In this work we analyzed system performance in terms of extreme indoor connectivity for different IoT enabling technologies for smart grid applications. To this aim we tested and compared in terms of measurements and simulations two IoT solutions available nowadays: Licensed Cellular based solution (i.e. NB-IoT) and proprietary Long Range based solution (i.e. LoRa). Specifically, measurements have been performed by acquiring connectivity levels in extreme propagation conditions, such as buried location in the premises of the Test Facility of RSE (Ricerca di Sistema Elettrico - the main Italian Energy Research Center); simulations have been carried out through a simulation tool with deterministic propagation models based on “Ray Tracing” techniques, taking into account also the attenuation of the terrain and the effect of surrounding buildings. The analysis allows acquiring connectivity information in deep Non Line of Sight environment (i.e.: underneath electric cables monitoring applications). This study will provide useful indications for the IoT solution of the future 5G network: the mMTC (massive Machine Type Communication) paradigm for innovative smart city services.
物联网技术支持极端连接智能电网应用
未来的网络将允许实现高水平的连接,以响应新的应用需求。在这项工作中,我们分析了智能电网应用中不同物联网支持技术在极端室内连接方面的系统性能。为此,我们在测量和模拟方面测试和比较了目前可用的两种物联网解决方案:基于许可的蜂窝解决方案(即NB-IoT)和专有的基于远程的解决方案(即LoRa)。具体而言,通过获取极端传播条件下的连接水平进行测量,例如RSE测试设施(Ricerca di Sistema electrico -意大利主要能源研究中心)的埋藏位置;通过基于“光线追踪”技术的确定性传播模型的仿真工具进行了模拟,同时考虑了地形的衰减和周围建筑物的影响。该分析允许在深度非视线环境中获取连接信息(即:电缆监测应用)。这项研究将为未来5G网络的物联网解决方案提供有用的指示:用于创新智慧城市服务的mMTC(大规模机器类型通信)范式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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