Abstract
This paper proposes a data broadcast strategy for traffic information query. Traffic information query is an important application in VANETs. Real-time traffic information query makes users to select path in a short time. By this data broadcast strategy, traffic information query can be quick and accurate after data is broadcast and forwarded. According to the restricted condition in the strategy, the vehicles broadcast their packets, and update, combine-forward or drop the data after receiving them in VANETs. In this way, more vehicles can receive data from source region. This algorithm can reduce the redundant data and control the communication congestion effectively. This paper adopts NS2 and SUMO as simulation platform. Simulation results show that, data collision rate is no more than 30%, and information area coverage rate reaches more than 80% with the strategy proposed in this paper after setting proper parameters.
This work is supported by Program for New Century Excellent Talents in University under grant No.NCET-11-0955, Programs Foundation of Heilongjiang Educational Committee for New Century Excellent Talents in University under grant No.1252-NCET-011, Program for Group of Science and Technology Innovation of Heilongjiang Educational Committee under grant No.2013TD012, the Science and Technology Research of Heilongjiang Educational Committee under grant No.12511395, the Science and Technology Innovation Research Project of Harbin for Young Scholar under grant No.2008RFQXG107, 2009RFQX080 and No.2011RFXXG014, the National Natural Science Foundation of China under grant No.61070193, 60803015, Heilongjiang Province Founds for Distinguished Young Scientists under Grant No.JC201104, Heilongjiang Province Science and Technique Foundation under Grant No.GC09A109.
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Wang, X., Guo, L., Li, J., Ren, M. (2013). A Novel Data Broadcast Strategy for Traffic Information Query in the VANETs. In: Wang, J., Xiong, H., Ishikawa, Y., Xu, J., Zhou, J. (eds) Web-Age Information Management. WAIM 2013. Lecture Notes in Computer Science, vol 7923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38562-9_46
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DOI: https://doi.org/10.1007/978-3-642-38562-9_46
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