Machine Learning-Based Path Loss Estimation Model for a 2.4 GHz ZigBee Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6690-5_11
Reference11 articles.
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3. Pan H, Shi Y, Wang X, Li T (2017) Modeling wireless sensor networks radio frequency signal loss in corn environment. Multimed Tools Appl 76(19):19479–19490
4. Egi Y, Otero K (2019) Machine-learning and 3D point-cloud based signal power path loss model for the deployment of wireless communication systems. IEEE Access 7:42507–42517
5. Jo HS, Park C, Lee E, Choi HK, Park J (2020) Path loss prediction based on machine learning techniques: principal component analysis, artificial neural network, and Gaussian process. Sensors 20(7):1–23
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