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Quality-of-Service based Reliable Route Discovery using Ant Colony Optimization for VANET

机译:基于质量的维护可靠路线发现,使用蚂蚁殖民优化的VANET

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Vehicular ad-hoc network (VANET) is an emerging technology for intelligent transportation system giving rise to numerous applications for safety and non safety purposes. In VANET, vehicles are the dynamic node that establishes communication with other vehicles that are found within its transmission range via wireless technology. However, a highly effective routing protocol is the most challenging subject for VANET, because of its special characteristics such as: large network size, frequent disconnection, rapid changing topology etc. In this work, Ant-colony-optimization technique (ACO) is utilized to discover all possible routes through which data packets can be forwarded. To achieve a reliable communication, among those route the best route is selected that satisfy the QoS constraints in the form of stability and delay. The results depict that the proposed algorithm performs efficiently for dense environment. With reference to other existing protocols, RDACO proves to be more effective in terms of packet delivery ratio (PDR) and delay.
机译:车辆ad-hoc网络(VANET)是一种智能交通系统的新兴技术,可产生许多安全性和不安全的应用。在VANET中,车辆是通过无线技术建立与其传输范围内的其他车辆的通信的动态节点。但是,高效的路由协议是VANET最具挑战性的主题,因为它的特殊特性,如:大量网络尺寸,频繁断开,快速变化的拓扑等。在这项工作中,利用蚁群优化技术(ACO)要发现可以转发数据包的所有可能路由。为了实现可靠的通信,在那些路线中,选择最佳路线,其以稳定性和延迟的形式满足QoS约束。结果描述了所提出的算法有效地进行密集环境。参考其他现有协议,RDACO在数据包传递比率(PDR)和延迟方面旨在更有效。

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