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Towards a cognitive MAC layer: Predicting the MAC-level performance in Dynamic WSN using Machine learning by Kulin, Merima; de Poorter, Eli; Kazaz, Tarik; Moerman, Ingrid is a scholarly article available to read on EtoBox.

What is Towards a cognitive MAC layer: Predicting the MAC-level performance in Dynamic WSN using Machine learning about?

Predictable network performance is key in many low-power wireless sensor network applications. In this paper, we use machine learning as an effective technique for real-time characterization of the communication performance as observed by the MAC layer. Our approach is data-driven and consists of three steps: extensive experiments for data collection, offline modeling and trace-driven performance evaluation. From our experiments and analysis, we find that a neural networks prediction model shows best performance.

Author

Kulin, Merima; de Poorter, Eli; Kazaz, Tarik; Moerman, Ingrid

Published

2016

Language

EN