Name
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. |
Year | Venue | Keywords |
|---|---|---|
2010 | Cognitive Radio Oriented Wireless Networks & Communications | Bluetooth,access protocols,cognitive radio,feature extraction,signal classification,wireless LAN,Bluetooth recognition,ISM band,MAC layer,Wi-Fi,automatic classification,automatic network recognition,cognitive concept,feature extraction,packet sequences,time-varying patterns,Cognitive networking,automatic network classification,network discovery |
Field | DocType | ISBN |
Pattern recognition,Computer science,Network layer,Network packet,ISM band,Speech recognition,Feature extraction,Feature (machine learning),Artificial intelligence,Linear classifier,Bluetooth,Cognitive neuroscience of visual object recognition | Conference | 978-1-4244-5886-8 |
Citations | PageRank | References |
4 | 0.51 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Di Benedetto, M. | 1 | 220 | 12.91 |
| Stefano Boldrini | 2 | 6 | 1.60 |
| Carmen Juana M. Martin | 3 | 4 | 0.51 |
| Jesus Roldan Diaz | 4 | 4 | 0.51 |