Deriving and Updating Optimal Transmission Configurations for Lora Networks
Deriving and Updating Optimal Transmission Configurations for Lora Networks
复制标题
导出和更新 Lora 网络的最佳传输配置
作者：
Ruben M. Sandoval;David Rodenas;A. García;J. García
基于lora的网络在参数配置和调制特性可调方面具有良好的灵活性。由于这一点，无线节点可以调整以改善其通信行为。事实上，最优的网络级传输配置（<inline-formula> < text -math notation="LaTeX">$ mathm {C_{opt}}$ </ text -math></inline-formula>）可以通过这样的方式得到，从而最大化全局网络性能。要推导出<inline-formula> < text -math符号="LaTeX">$ mathm {C_{opt}}$ </ text -math></inline-formula>，必须事先知道每个节点的无线电传播行为。传统上，由于不可能（在时间和精力方面）推导出每个单独的节点传播行为，因此一直通过使用一般的、低精度的传播模型来实现这一点。在这项工作中，我们提出了一种简单的边界技术，该技术减少了获取网络中每个单独节点的无线电传播行为所需的能量和时间高达73%，从而能够推导网络级最佳传输配置。此外，我们还提供了保持这些知识更新的机制，快速响应环境变化，与LoRaWAN ADR等传统替代方案相比，网络性能提高了15%。此外，通过一个测试平台，我们证明了该机制还可以抵抗拒绝服务攻击。最后，我们将功耗合并到建议的<inline-formula> < text -math符号="LaTeX">$ mathm {C_{opt}}$ </ text -math></inline-formula>公式中，并提供了一种通用的功耗确定方法。通过这种方式，我们可以限制符合条件的传输配置集，以帮助将LoRa网络的生命周期延长40%以上。
LoRa-based networks exhibit good flexibility in terms of configurable parameters and adjustable modulation properties. Thanks to this, wireless nodes can be tuned to improve their communication behavior. In fact, optimal network-level transmission configurations (<inline-formula> <tex-math notation="LaTeX">$mathrm {C_{opt}}$ </tex-math></inline-formula>) can be derived in such a way that the global network performance is maximized. To derive this <inline-formula> <tex-math notation="LaTeX">$mathrm {C_{opt}}$ </tex-math></inline-formula>, one must know the radio-propagation behavior of each node beforehand. Traditionally, this has been pursued by using general, low-precision, propagation models due to the infeasibility (in terms of time and energy) of deriving each individual node propagation behavior. In this work we propose a straightforward bounding technique that reduces up to 73% the energy and time required to obtain the radio-propagation behavior of each individual node in the network, enabling the derivation of network-level optimal transmission configurations. Also, we provide mechanisms to keep this knowledge updated, swiftly reacting to changes in the environment and leading to network performance improvements of 15% when compared to traditional alternatives like LoRaWAN ADR. Furthermore, by means of a testbed we demonstrate that this mechanism can also provide resistance to Denial-of-service attacks. Finally, we incorporate the power consumption into the proposed <inline-formula> <tex-math notation="LaTeX">$mathrm {C_{opt}}$ </tex-math></inline-formula> formulation and provide a generalizable power-consumption determination methodology. This way we can limit the set of eligible transmission configurations to help extending LoRa network lifetimes more than 40%.
减轻 LoRa 网络中的网间干扰
DOI：
10.48550/arxiv.1611.00688
发表时间：
2016
期刊：
arXiv e-prints
影响因子：
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作者：
Voigt Thiemo
通讯作者：
Voigt Thiemo