Abstract In this paper,we propose a random-access model for describing several wireless communication technologies. These networks have found application in the construction of wireless sensor networks, and the proposed model can be used for flows with different properties, considering the corresponding distribution functions. The model considers the technical features of the LoRa technology and subscriber traffic. We also address the management of random multiple wireless access in a Software-Defined Networking (SDN) like control architectures, and proposing a model for flows with different properties, considering the corresponding distribution functions. We develop a method for optimizing the parameters of an access network by the probability of data delivery. Then we describe the probability of bit error, frame loss, collision, and the choice of network parameters considering the heterogeneity of conditions for different users. Numerical results show the efficiency of our proposed scheme by maintaining the required network parameters in case of its function conditions changing.

中文翻译：

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使用 LoRa 技术的多址物联网网络认知控制模型

摘要 在本文中，我们提出了一种描述几种无线通信技术的随机接入模型。这些网络已在无线传感器网络的构建中得到应用，所提出的模型可用于具有不同属性的流，并考虑相应的分布函数。该模型考虑了 LoRa 技术和用户流量的技术特点。我们还解决了软件定义网络 (SDN) 等控制架构中随机多路无线接入的管理问题，并在考虑相应的分布函数的情况下提出了具有不同属性的流模型。我们开发了一种通过数据传输概率优化接入网络参数的方法。然后我们描述误码、丢帧、碰撞的概率，以及考虑不同用户条件异构性的网络参数选择。数值结果显示了我们提出的方案通过在其功能条件发生变化的情况下保持所需的网络参数的效率。