KEYWORDS: Signal to noise ratio, Data modeling, Mathematical optimization, Performance modeling, Data transmission, Analytical research, Wireless communications, Reliability
Long Range (LoRa), as a wireless communication technology with long transmission distances and high reliability, has been widely applied in the field of wireless sensing. One of its significant features is the ability to customize transmission protocols to adapt to a variety of application scenarios. When customizing transmission protocols, effective Link Quality Estimation (LQE) and Link Quality Prediction (LQP) can support more efficient transmission protocols and assist nodes in adjusting communication parameters in a timely manner to enhance the reliability of data transmission. In this paper, by experimentally analyzing the characteristics of LoRa communication. Combining the characteristics of LoRa application scenarios, we also introduce a lightweight LQP model based on Light Gradient Boosting Machine (LightGBM).
KEYWORDS: Signal to noise ratio, Wireless communications, Signal attenuation, Neodymium, Receivers, Telecommunications, Signal detection, Sensor networks, Received signal strength, Interference (communication)
Long Range (LoRa) is a type of Low Power Wide Area Network (LPWAN) technology. In LoRa wireless network, the link quality is mainly affected by link interference and radio frequency (RF) parameter. To achieve lower power consumption, the data rate needs to be optimized. The adaptive data rate (ADR) specified by LoRaWAN adjusts the data rate of nodes by modifying the spreading factor (SF) to achieve the effect of reducing energy consumption. However, ADR mechanism is only applicable to the static environment. The effect of ADR is seriously affected by the complex and variable wireless channels. Therefore, based on ADR, this article proposed the Link Quality based ADR (LQ-ADR) mechanism to optimize the node energy consumption while ensuring the reliability of wireless communication. The experiments of this regulation mechanism show that the proposed regulation mechanism can effectively improve the data delivery rate, dynamically select the appropriate communication channel for the nodes, and avoid the occurrence of large-scale data packet loss.
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