학술논문
Automatic network recognition by feature extraction: A case study in the ISM band
Document Type
Conference
Author
Source
2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications Cognitive Radio Oriented Wireless Networks & Communications (CROWNCOM), 2010 Proceedings of the Fifth International Conference on. :1-5 Jun, 2010
Subject
Language
ISSN
2166-5370
2166-5419
2166-5419
Abstract
Automatic network recognition offers a promising framework for the integration of the cognitive concept at the network layer. This work addresses the problem of automatic classification of technologies operating in the ISM band, with particular focus on Wi-Fi vs. Bluetooth recognition. The proposed classifier is based on feature extraction related to time-varying patterns of packet sequences, i.e. MAC layer procedures, and adopts different linear classification algorithms. Results of classification confirmed the ability to reveal both technologies based on Mac layer feature identification.