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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Szczurek, P. Bo Xu Wolfson, O. Jie Lin Rishe, N. |
| Copyright Year | 2010 |
| Description | Author affiliation: University of Illinois at Chicago, Department of Computer Science, U.S.A. (Szczurek, P.; Bo Xu; Wolfson, O.) || University of Illinois at Chicago, Department of Civil and Materials Engineering, U.S.A. (Jie Lin) || Florida International University, School of Computing and Information Sciences, Miami, U.S.A. (Rishe, N.) |
| Abstract | Vehicular ad-hoc networks (VANETs) is a promising approach to the dissemination of spatio-temporal information such as the current traffic condition of a road segment or the availability of a parking space. Due to the constraint of the communication bandwidth, only a limited number of information items may be transmitted upon a vehicle-to-vehicle communication opportunity. Ranking becomes critical in this situation, by enabling the most important information to be transmitted under the bandwidth constraint. In this paper we propose a method for online learning of spatio-temporal information ranking for a travel time dissemination application within a VANET. In this method, vehicles judge the relevance of incoming information items and use them as training examples for Naive Bayesian learning. Additionally, a separate machine learning algorithm is used to estimate the probability of a duplicate item being transmitted. The method is used in place of commonly used heuristics, and is shown to be superior in the application of travel time dissemination. |
| Starting Page | 454 |
| Ending Page | 458 |
| File Size | 555400 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424488582 |
| e-ISBN | 9781861353696 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-21 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Machine learning algorithms Databases Roads Time dissemination data prioritization dissemination Machine learning VANET Ad hoc networks machine learning Vehicles |
| Content Type | Text |
| Resource Type | Article |
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