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Comparative review on optimizing headway distance for connectivity in vanets using artificial bee colony algorithm

机译:使用人工蜂群算法优化翻车时的车距距离的比较综述

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In vehicular adhoc networks abbreviated as VANETS vehicles are furnished with radio devices which qualify them to interchange traffic information without the requirement of any kind of infrastructure [3-6]. However the understanding of vehicle headway distribution is crucial for evaluating the probable range of connectivity in these vehicle ad hoc networks. Several studies on dissemination of vehicles in a single lane had taken into account the minimum safe distance to be maintained between consecutive vehicles. The account of this safe distance improves the agreement between vehicles conceptual spacing distribution and factual data in single lane traffic. Although the account of this minimum headway distance based VANETs has shown better results than other techniques but it still suffers from the effects of abnormal environmental conditions on traffic. So in order to remove these issues, a new technique is proposed. The proposed technique will use dynamic communication and dynamic path selection using artificial bee colony algorithm to enhance the results of VANETs further. Also the proposed technique is evaluated and compared with existing techniques on the basis of the parameters which include connectivity probability, end to end delay, throughput and overheads.
机译:在车辆adhoc网络中缩写为vanets车辆,提供有无线电设备的无线电设备,这些无线电设备有资格在不需要任何类型的基础架构[3-6]的情况下互换交通信息。然而,对车辆前往分布的理解对于评估这些车辆ad Hoc网络中可能的连接范围至关重要。关于在单个车道中传播车辆的几项研究已经考虑了连续车辆之间保持的最小安全距离。这种安全距离的说明改善了车辆之间的概念间距分布与单线交通中的事实数据之间的协议。虽然这种最小前沿距离基于距离的VANET的说明表现出比其他技术更好的结果,但它仍然存在异常环境条件对交通的影响。因此,为了消除这些问题,提出了一种新技术。所提出的技术将使用人造蜂菌落算法使用动态通信和动态路径选择,以进一步增强vanet的结果。此外,基于包括连接概率的参数,对现有技术进行了评估和比较了所提出的技术,结束到最终延迟,吞吐量和开销。

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