A novel SCNN-LSTM model for predicting the SNR confidence interval in wearable wireless sensor network

Accurate real-time prediction of link quality is crucial for enhancing the reliable responsiveness of wearable devices within Wireless Wearable Sensor Networks (WWSNs). Specifically, the Signal-to-Noise Ratio (SNR), a pivotal parameter for predicting link quality, exhibits complex temporal character...

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Bibliographic Details

Published in:	Intelligent Systems with Applications
Main Authors:	Minghu Zha, Li Zhu, Yunyun Zhu, Jun Li, Tao Hu
Format:	Article
Language:	English
Published:	Elsevier 2024-06-01
Subjects:	WWSNs Link quality prediction SCNN-LSTM SNR Wavelet transform Confidence interval
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667305324000395