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    COBRA:车载网络中基于协作的大数据传输增强机制

    COBRA: A Collaboration Based Reinforcement Mechanism for Mass Transmission in VANETs

    • 摘要: 车载网络利用车载无线通信设备在车辆移动过程中组网.研究者们已提出了大量的路由算法用于车载网络中的多跳数据传输,但是这些算法大都假设车辆间传输带宽不受限制,从而其性能会随转发数据量的增加而降低.车载网络中用于大数据量传输的路由增强机制COBRA,利用同向行驶车辆间的拓扑稳定特性延长数据在车辆间的传输时间,利用擦除编码增加传输可靠性.实验证明,当传输数据量较大或带宽受限时,COBRA机制能以较低的开销提升现有典型车载网络路由协议的传输延时与可靠性能.

       

      Abstract: Vehicular ad hoc networks (VANETs) allow vehicles to form self-organized networks while driving, which can offer cheap methods to access the Internet for the passengers. When the scope of VANETs becomes larger, it’s often needed to forward massive data to some fixed Internet APs distributed in the city. There are a lot of routing algorithms proposed to reduce the message propagation delay and also reduce bandwidth consumption on VANETs, but most of which are under the assumption that the bandwidth between vehicles is unlimited so massive data can be forwarded instantaneously; it is verified that this can lead poor transmission performances when implemented. The authors propose a reinforcing mechanism COBRA to forward massive data in VANETs. The COBRA mechanism focuses on the incomplete data transmitting problem brought by high driving speed and limited wireless communication range. The mechanism utilizes the stable topology characteristic of vehicles running in the same directions to prolong the opportunistic transmitting time, and also use erasure coding technology to deal with the uncertain factors in the “meeting-forwarding” processes. The simulation results show that, when data are large, or when bandwidth is limited, the routing method with the reinforcing mechanism can outperform the existing VANET routing protocols.

       

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