Abstract
Vehicular Ad Hoc Networks (VANETs) play a significant role in preventing traffic accidents on the highway. But it is a challenge to reduce the messages transmission delay under emergency condition. In this paper, an emergency event driven routing algorithm for bi-directional highway is proposed. Each vehicle maintains a real-time special neighbor nodes set which includes the next-hop vehicle and vehicle ID in three different directions. In particular, when there is no vehicle ahead or behind the accident vehicles we use the vehicles from reverse direction to reduce the intermittent link. And the emergency events of vehicles are divided into two types, according to the different influence of events on vehicles ahead and behind. And different emergency events launch different transmission algorithms. This ensures that the emergency messages (EMs) can transmit to the vehicles affected much more by the emergency events. Furthermore, we derive the transmission delay formula based on the proposed algorithm. Finally, the algorithm is verified by the simulation of the transmission delay formula. The results show that the proposed emergency event driven routing algorithm can reduce the transmission delay effectively.
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Acknowledgement
This work is supported by the NSF of China under grant 71171045, 61301118; the Innovation Program of Shanghai Municipal Education Commission under Grant No. 14YZ130; the Fundamental Research Funds for the Central Universities and a DHU Distinguished Young Professor Program.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yang, Y., Li, D., Zhang, G., Guo, C., Jin, S. (2017). An Emergency Event Driven Routing Algorithm for Bi-directional Highway in Vehicular Ad Hoc Networks. In: Xin-lin, H. (eds) Machine Learning and Intelligent Communications. MLICOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-52730-7_1
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DOI: https://doi.org/10.1007/978-3-319-52730-7_1
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