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Throughput evaluation of Raspberry Pi devices on multihop and multiflow Wireless Sensor Network scenarios

机译:覆盆子PI器件对多跳和多烃无线传感器网络场景的吞吐量评估

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The Raspberry Pi has become one of the most popular devices used in the internet of things studies because of its flexibility and affordability for prototyping purposes. It has found its niche in wireless sensor networks as it can function both as sensor node and router node just by adding wireless adapter. Studies have employed the Raspberry Pi as WSN mesh node and sensor node. These studies looked on the performance of these devices on single flow of data and/or on limited number of hops. Indirectly, they say these devices performs poorly on multihop and multi-flow experimental scenarios. Our experiments show that for multi-hop and multi-flow of scenarios, the raspberry pi nodes actually have enough resource and capacity to maintain good performance. Data flows simply share these resources amongst themselves that results to smaller throughput per flow. We show the appropriateness of Raspberry Pi not only as a sensor node but at the same time act as a mesh node for wireless sensor network studies in different scenarios. To the best of our knowledge, this has not been reported in the literature which should be helpful to other researchers.
机译:Raspberry PI已成为物联网中使用的最受欢迎的设备之一,因为它的灵活性和对原型特征的可负担性。它已在无线传感器网络中找到其利基,因为它可以通过添加无线适配器作为传感器节点和路由器节点。研究使用覆盆子PI作为WSN网状节点和传感器节点。这些研究介绍了这些设备在单一数据流和/或有限数量的跳跃上的性能。间接地,他们说这些设备在多跳和多流实验场景上表现不佳。我们的实验表明,对于多跳和多流程,覆盆子PI节点实际上具有足够的资源和能力来保持良好的性能。数据流程只是在自己之间共享这些资源,从而导致每个流越小的吞吐量。我们展示了覆盆子PI不仅作为传感器节点的适当性,而且同时充当不同场景中无线传感器网络研究的网状节点。据我们所知,这尚未在文献中报告这应该对其他研究人员有所帮助。

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