The long-range and low energy consumption requirements in Internet of Things (IoT) applications have led to a new wireless communication technology known as Low Power Wide Area Network (LPWANs). In recent years, the Long Range (LoRa) protocol has gained a lot of attention as one of the most promising technologies in LPWAN. Choosing the right combination of transmission parameters is a major challenge in the LoRa networks. In LoRa, an Adaptive Data Rate (ADR) mechanism is executed to configure each End Device's (ED) transmission parameters, resulting in improved performance metrics. In this paper, we propose a link-based ADR approach that aims to configure the transmission parameters of EDs by making a decision without taking into account the history of the last received packets, resulting in a relatively low space complexity approach. In this study, we present four different scenarios for assessing performance, including a scenario where mobile EDs are considered. Our simulation results show that in a mobile scenario with high channel noise, our proposed algorithm's Packet Delivery Ratio (PDR) is 2.8 times outperforming the original ADR and 1.35 times that of other relevant algorithms.
翻译:在Lora网络中,选择传输参数的正确组合是一个重大挑战。在LoRa,一个适应性数据率(ADR)机制用于配置每个终端设备(ED)传输参数,从而改进性能指标。在本文中,我们建议采用基于链接的ADR方法,在不考虑上次收到的数据包历史的情况下作出决定,从而配置ED的传输参数,从而形成相对较低的空间复杂性。在这项研究中,我们提出了评估性能的四种不同情景,包括考虑移动式ED的情景。我们的模拟结果表明,在高频道噪音的移动情景中,我们提议的算法包传送率(PDR)比最初的ADR高出2.8倍,而其他相关的算法则超过1.35倍。