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An Experimental Evaluation of the Reliability of LoRa Long-Range Low-Power Wireless Communication

机译:LoRa远程低功耗无线通信可靠性的实验评估

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Recent technological innovations allow compact radios to transmit over long distances with minimal energy consumption and could drastically affect the way Internet of Things (IoT) technologies communicate in the near future. By extending the communication range of links, it is indeed possible to reduce the network diameter to a point that each node can communicate with almost every other node in the network directly. This drastically simplifies communication, removing the need of routing, and significantly reduces the overhead of data collection. Long-range low-power wireless technology, however, is still at its infancy, and it is yet unclear (i) whether it is sufficiently reliable to complement existing short-range and cellular technologies and (ii) which radio settings can sustain a high delivery rate while maximizing energy-efficiency. To shed light on this matter, this paper presents an extensive experimental study of the reliability of LoRa , one of the most promising long-range low-power wireless technologies to date. We focus our evaluation on the impact of physical layer settings on the effective data rate and energy efficiency of communications. Our results show that it is often not worth tuning parameters, thereby reducing the data rate in order to maximize the probability of successful reception, especially on links at the edge of their communication range. Furthermore, we study the impact of environmental factors on the performance of LoRa, and show that higher temperatures significantly decrease the received signal strength and may drastically affect packet reception.
机译:最新的技术创新使紧凑型无线电能够以最小的能耗进行长距离传输,并且可能在不久的将来极大地影响物联网(IoT)技术的通信方式。通过扩展链路的通信范围,确实可以将网络直径减小到每个节点都可以与网络中几乎每个其他节点直接通信的程度。这极大地简化了通信,消除了路由选择的需要,并大大减少了数据收集的开销。但是,远程低功率无线技术仍处于起步阶段,目前尚不清楚(i)它是否足够可靠以补充现有的短距离和蜂窝技术,以及(ii)哪些无线电设置可以维持较高的功率?输送速度,同时最大程度地提高能源效率。为了阐明这一问题,本文对LoRa的可靠性进行了广泛的实验研究,LoRa是迄今为止最有前途的远程低功耗无线技术之一。我们将评估重点放在物理层设置对通信的有效数据速率和能效的影响上。我们的结果表明,通常不值得调整参数,从而降低数据速率以最大化成功接收的可能性,尤其是在其通信范围边缘的链路上。此外,我们研究了环境因素对LoRa性能的影响,并表明较高的温度会显着降低接收信号的强度,并可能严重影响数据包的接收。

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