LoRaWAN is the most adopted communication technology for the Internet of Things (IoT) applications for enabling flexible, cost-effective long-range communication with low power consumption. The deployment of a wide range of IoT devices brings many benefits to many applications, but new challenges arise from the network point of view with this deployment. For instance, IoT applications have different requirements in terms of Quality of Service (QoS) and energy efficiency in dense IoT scenarios. In this context, it is crucial to design an efficient resource allocation mechanism that enables real-time adjustments of radio-related parameters to improve the system’s scalability while providing QoS and reducing IoT devices’ energy consumption depending on the application requirements. This article proposes an adaptive priority-aware resource allocation mechanism to improve LoRaWAN scalability and energy consumption in a dense IoT scenario, called APRA. The simulation results show the benefits of APRA in improving the energy consumption by 95% and increasing the battery discharge time of the end device up to 5 years while yielding high packet delivery and low delay to high priority applications.

LoRaWAN 是物联网 (IoT) 应用中采用最多的通信技术，可实现灵活、经济高效的低功耗远程通信。广泛的物联网设备的部署为许多应用程序带来了许多好处，但从网络的角度来看，这种部署带来了新的挑战。例如，物联网应用在密集物联网场景中对服务质量 (QoS) 和能源效率有不同的要求。在这种情况下，设计一种高效的资源分配机制至关重要，该机制能够实时调整无线电相关参数，以提高系统的可扩展性，同时根据应用需求提供 QoS 并降低物联网设备的能耗。本文提出了一种自适应优先级感知资源分配机制，以提高密集物联网场景中的 LoRaWAN 可扩展性和能耗，称为 APRA。仿真结果表明，APRA 的优势在于将能耗降低 95%，并将终端设备的电池放电时间延长至 5 年，同时为高优先级应用提供高数据包传输和低延迟。