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Reducing collision probability with multihop diversity for vehicle-to-roadside networks

机译:减少车辆到路边网络的多跳多样性的碰撞概率

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Implementation of high performance, low-latency cooperative collision avoidance (CCA) protocols for Vehicular Ad hoc NETworks (VANETs) is of major importance for public safety organizations and automobile manufacturers. In this study, we examine a vehicle-to-roadside (V2R) transmission scheme in which the intermediate roadside terminal amplifies and forwards the broadcasted warning signal and acts as a relay to provide diversity to the destination vehicle. We compare the bit-error-rate (BER) and packet-error-rate (PER) performances of multihop V2R and single-hop vehicle-to-vehicle (V2V) transmission schemes. We further present a Markov chain traffic model in order to observe the impact of the improved error-rate performance on the collision probability. We assume the inter-vehicle spacing follows exponential distribution, and then draw a stochastic model considering the probabilities of successful message reception, transmission delay and drivers' reaction time. Numerical results reveal that the chance of collision in the V2R scheme is considerably less than the single-hop V2V case for equal message sizes sent over a large range of inter-vehicle spacing. This setting plays a vital role in wireless intervehicle warning applications such as collision avoidance for automated and semiautomated highway systems.
机译:用于车辆临时网络(VANET)的高性能,低延迟合作碰撞避免(CCA)协议对公共安全组织和汽车制造商的重大重视。在这项研究中,我们研究了一种车辆到路边(V2R)传输方案,其中中间路边终端放大并转发广播警告信号并用作中继以提供到目的地车辆的分集。我们比较多倍v2R和单跳车辆到车辆(V2V)传输方案的误码率(BER)和数据包差错率(每)性能。我们进一步提出了马尔可夫链交通模型,以观察改进的误差率性能对碰撞概率的影响。我们假设车间间距遵循指数分布,然后考虑考虑到成功消息接收,传输延迟和驱动器反应时间的概率的随机模型。数值结果表明,V2R方案中的碰撞的机会显着小于在大型车辆间间隔上发送的等于消息尺寸的单跳V2V案例。此设置在无线互动警告应用中起着至关重要的作用,例如自动化和半动物公路系统的碰撞避免。

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