One of the main methods for link quality prediction is to predict the physical layer parameters
first, and then evaluate the link quality based on the mapping models between such …

The size of time windows used by low-power wireless protocols to compute packet reception
ratio (PRR) directly affects the accuracy and agility of link quality prediction. Using small time …

Accurate real-time prediction of link quality is crucial for enhancing the reliable
responsiveness of wearable devices within Wireless Wearable Sensor Networks (WWSNs) …

无线传感器网络中, 节点传输数据时容易受到环境中噪声的干扰, 使传输链路质量变差,
导致数据包丢失, 消息重发, 从而加速节点能量的消耗, 缩短网络寿命. 链路质量预测可以为上层 …

Most current deep learning-based link quality prediction methods rely on statistically derived
link quality parameters over sampling periods, which makes short-term correlations in link …

Link quality prediction significantly improves network performance. Effective link quality
prediction can ensure data transmission, and high-quality link transmission data can …