Online Wireless Mesh Network Traffic Classification Using Machine Learning
Internet traffic classification based on flow statistics using machine learning has attracted great attention. Wireless Mesh Networks (WMNs) facilitate the extension of wireless local area networks into wide areas and have emerged as a key technology for next-generation wireless networking. Online and accurate traffic classification is a key challenge for wireless mesh network management. The authors propose an online wireless mesh network traffic classification using C4.5. They evaluate the effectiveness of their proposed method through the experiments on real mesh traffic traces. Experiment results illustrate this method can classify online wireless mesh network traffic with high accuracy.