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Evaluation of Multi-Gateway LoRaWAN with Different Data Traffic Models

机译:不同数据流量模型的多网关LoRaWAN评估

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In this paper, We analyze the performance of popular low-power wide-area networking technology called long rage (LoRa) using different data traffic generation models, and by varying the number of gateways in a LoRa network cell. Moreover, we also analyze LoRa's performance in the presence of multiple concurrent applications in a LoRa network. Here, we also present an extension for an existing LoRa simulator called LoRaSim to simulate multiple concurrent applications in the presence of multiple gateways in a LoRa network. Our results demonstrate that, a LoRa communication setting that supports diversity in terms of bandwidth, spreading factor, and coding rate demonstrates good performance for different data traffic models mostly without requiring multiple gateways in a LoRa network cell. Through simulation case studies, we also demonstrate effectiveness of our extended LoRaSim simulator.
机译:在本文中,我们使用不同的数据流量生成模型,并通过更改LoRa网络单元中网关的数量,分析了流行的低功耗广域网技术(称为Long rage(LoRa))的性能。此外,我们还分析了LoRa网络中存在多个并发应用程序时的LoRa性能。在这里,我们还介绍了一个名为LoRaSim的现有LoRa模拟器的扩展,以在LoRa网络中存在多个网关的情况下模拟多个并发应用程序。我们的结果表明,支持带宽,扩展因子和编码率方面的多样性的LoRa通信设置主要针对不同的数据流量模型展示了良好的性能,而无需在LoRa网络单元中使用多个网关。通过模拟案例研究,我们还证明了扩展的LoRaSim模拟器的有效性。

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