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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hyun-Sung Park Seung-Chur Yang Doo-Hwan Oh Jong-Deok Kim |
| Copyright Year | 2009 |
| Abstract | In this paper, we present a WLAN-based automatic vehicle identification (AVI) technique. AVI, typically used for electronic toll collection, is a basic functional requirement for a smart car. The development of this technique is a subtask of building a WLAN-based multi-purpose vehicular terminal device providing various functions, such as AVI, car-to-car communication and vehicular internet access. The design and implementation of our WLAN-based AVI system was based on reducing the identification time in order to cover high-speed cars. As time is required to establish a network connection between a roadside access point and a car station, identifying a high-speed car by communicating through that network connection is not feasible. We utilize IEEE 802.11 management frame such as probe request frame in order to identify a station without establishing a network connection. We also control the timing of the scanning procedure in order to generate enough frames for reliable identification of high speed-cars. Based on the experimental results, our WLAN-based AVI system achieves an identification ratio of nearly 100% for various car speeds ranging from 40km/h to 100km/h, whereas, active RFID, one of the representative technologies for AVI, does not show reliable identification performance, especially at high-speeds. |
| Starting Page | 310 |
| Ending Page | 317 |
| File Size | 1934361 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424453344 |
| DOI | 10.1109/CSE.2009.371 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-29 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | AVI Vehicular Network VANET Vehicle Identification WLAN Vehicles IVCS |
| Content Type | Text |
| Resource Type | Article |
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