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Controlling Data Congestion by Efficient Backpressure Routing Algorithm in V2V Communication for Autonomous Vehicles

机译:自动车辆V2V通信中的高效背面路由算法控制数据拥塞

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As Automated cars are gaining more and more interest among the public, the importance of Vehicle-to-Vehicle(V2V) communication has also increased. As the number of V2V vehicles increase there is a condition that occurs called congestion that occurs due to too many vehicles trying to communicate with each other. Thus, we require some protocols that can instruct when the vehicles can perform a V2V to avoid congestion. These congestion control protocols are important in dense vehicular networks. The traditional backpressure routing algorithm investigates every attainable way between source and goal. The strategy is effective when the system is intensely loaded but the most important issue emerges when the communication routes are moderately blocked which increases throughput. To defeat this issue, we are proposing Efficient Backpressure Routing (EBR) algorithm that enhances average throughput what's more, exhausts a normal power. It chooses many ideal courses in view of the brief way data. When contrasted with the Traditional Backpressure Algorithm, we can accomplish greatest organize throughput because of which information can transmit unreservedly immediately.
机译:随着自动汽车在公众中获得越来越兴趣的,车辆到车辆(V2V)通信的重要性也增加了。随着V2V车辆的数量增加,存在一种被称为拥塞的条件,其由于太多的车辆而试图彼此通信。因此,我们需要一些可以指导当车辆能够执行V2V以避免拥塞的协议。这些拥塞控制协议在密集的车辆网络中很重要。传统的背压路由算法调查了源头和目标之间的每一个可达到的方式。当系统强烈加载时,该策略是有效的,但是当遍历通信路线增加吞吐量时,最重要的问题出现了最重要的问题。要击败这个问题,我们正在提出高效的背部路由(EBR)算法,可以提高平均吞吐量,耗尽正常的功率。鉴于简要的方法,它选择了许多理想的课程。与传统的背压算法形成鲜明对比时,我们可以实现最大的组织吞吐量,因为它可以立即毫无保留地传输信息。

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