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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aust, S. Ito, T. Davis, P. |
| Copyright Year | 2010 |
| Description | Author affiliation: NEC Communication Systems, Ltd., NCOS Laboratory, Kanagawa, Japan (Aust, S.; Ito, T.) || Telecognix Corporation, Kyoto, Japan (Davis, P.) |
| Abstract | This paper proposes a method of real-time seamless location cognition in WLAN systems based on monitoring, learning and recognizing the statistics of received data traffic. It uses the property that statistics such as average and variance of throughput are often correlated with the location. The method also uses a confidence parameter to quantify the confidence in the location identification, based on comparing matches with multiple candidates. The proposed method can support seamless location cognition by WLAN terminals, indoor and outdoor, without depending on any infrastructure service. |
| Starting Page | 653 |
| Ending Page | 657 |
| File Size | 255738 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424483877 |
| ISSN | 07421303 |
| e-ISBN | 9781424483891 |
| DOI | 10.1109/LCN.2010.5735789 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cognition Wireless LAN Buildings Fingerprint recognition Wireless communication Monitoring Classification algorithms confidence Location WLAN distance cognition |
| Content Type | Text |
| Resource Type | Article |
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