Abstract
Vehicular Ad-hoc Network (VANET) plays an important role in improving traffic safety and efficiency. Vehicles with sensors on board can collect traffic and environmental information of their driving areas and, meanwhile, they also want to achieve a similar type of information for their interested regions. This paper establishes a data service model to facilitate information exchanges within a vehicular network, where both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications are involved. A new clustering algorithm which considers the mobility and the driving behavior is proposed in this model to enhance service efficiency and success rate. The performance of this model is evaluated through simulation.
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Acknowledgement
The authors gratefully acknowledge the support and financial assistance provided by the National Natural Science Foundation of China under Grant Nos. 61502230 and 61073197, the Natural Science Foundation of Jiangsu Province under Grant No. BK20150960, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China under Grant No. 15KJB520015.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Shi, Y., Peng, Xh., Shen, H., Bai, G. (2018). Cluster-Based Cooperative Data Service for VANETs. In: Li, C., Mao, S. (eds) Wireless Internet. WiCON 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-319-90802-1_10
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DOI: https://doi.org/10.1007/978-3-319-90802-1_10
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