Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

An Emergency Event Driven Routing Algorithm for Bi-directional Highway in Vehicular Ad Hoc Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_1,
        author={Yajie Yang and Demin Li and Guanglin Zhang and Chang Guo and Saifei Jin},
        title={An Emergency Event Driven Routing Algorithm for Bi-directional Highway in Vehicular Ad Hoc Networks},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={Vehicle Ad Hoc Networks Emergency messages Event-driven Routing algorithm},
        doi={10.1007/978-3-319-52730-7_1}
    }
    
  • Yajie Yang
    Demin Li
    Guanglin Zhang
    Chang Guo
    Saifei Jin
    Year: 2017
    An Emergency Event Driven Routing Algorithm for Bi-directional Highway in Vehicular Ad Hoc Networks
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_1
Yajie Yang,*, Demin Li,*, Guanglin Zhang,*, Chang Guo,*, Saifei Jin
    *Contact email: yangyajie@mail.dhu.edu.cn, deminli@dhu.edu.cn, glzhang@dhu.edu.cn, guochang@mail.dhu.edu.cn

    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.