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

机译:自主车辆V2V通信中通过高效反压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:随着自动驾驶汽车在公众中获得越来越多的兴趣,车对车(V2V)通信的重要性也越来越高。随着V2V车辆数量的增加,会发生一种称为拥塞的情况,这种情况是由于太多的车辆试图相互通信而发生的。因此,我们需要一些可以指导车辆何时执行V2V以避免拥堵的协议。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研究源和目标之间的每种可达到的方式。该策略在系统负载很重时有效,但最重要的问题出现在通信路径受到适当阻塞时,这会增加吞吐量。为了解决这个问题,我们提出了有效的反压路由(EBR)算法,该算法可提高平均吞吐量,并且消耗正常功率。鉴于简要的数据,它选择了许多理想的课程。与传统背压算法相比,我们可以实现最大的组织吞吐量,因为它可以立即无保留地传输信息。

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