Link quality prediction in wireless community networks using deep recurrent neural networks

Link quality prediction in wireless community networks using deep recurrent neural networks

Wireless community networks (WCNs) are large, heterogeneous, dynamic, and decentralized networks. Such complex characteristics raise different challenges, such as the effect of wireless communications on the performance of networks and routing protocols. The prediction approaches of link quality (LQ...

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Bibliographic Details
Main Authors: Mohamed Abdel-Nasser, Karar Mahmoud, Osama A. Omer, Matti Lehtonen, Domenec Puig
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Alexandria Engineering Journal
Subjects:
Link quality prediction
Time-series analysis
Deep learning
RNN
LSTM
GRU
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016820302519

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http://www.sciencedirect.com/science/article/pii/S1110016820302519

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