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QoS realization for routing protocol on VANETs using ant colony optimization

机译:使用蚁群优化实现VANET上路由协议的QoS实现

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In vehicular Ad-hoc Network (VANET) a restricted coverage of Wi-Fi and extremely mobile nodes creates the topology vigorously changing and repeatedly disconnecting. Subsequently Quality of Service turn out to be an essential issue. In this work, we acknowledged the need of Quality of Service restraint in VANET [3]. Investigation related to work signifies that, an effective routing methodology plays a vital role, to upturn the Quality of Service parameters. To handle this Ant Colony Optimization (ACO) and been applied, and to carry out the experiment Opportunistic Network Environment (ONE) Simulator is being used to study about packet drop, overhead ratio, average latency and throughput. We studied mainly four performance metrics (overhead ratio, average latency packets dropped and the throughput) signs that our proposed approach is more effective and trustworthy in comparison of existing routing algorithm. The target of refining the QoS in these systems is done utilizing ONE test system. A meta-heuristic calculation, Ant Colony Optimization (ACO) is connected to acquire directing set-up and the reproduction is completed in ONE test system. To create the simulation more representative a genuine city plots with the simulator has been integrated [3].
机译:在车载自组织网络(VANET)中,Wi-Fi和移动节点的覆盖范围有限,导致拓扑结构发生了剧烈变化,并反复断开连接。随后,服务质量成为一个基本问题。在这项工作中,我们承认在VANET [3]中有必要限制服务质量。与工作有关的调查表明,有效的路由方法在提升服务质量参数方面起着至关重要的作用。为了处理并应用此蚁群优化(ACO),并进行实验,使用机会网络环境(ONE)模拟器来研究数据包丢失,开销比率,平均延迟和吞吐量。我们主要研究了四个性能指标(开销率,平均等待时间数据包丢失和吞吐量)迹象,表明与现有路由算法相比,我们提出的方法更加有效和值得信赖。在这些系统中完善QoS的目标是使用一个测试系统完成的。通过元启发式计算,将蚁群优化(ACO)进行连接以获取指导设置,并在一个测试系统中完成复制。为了创建更具代表性的模拟,已经集成了带有模拟器的真实城市地块[3]。

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