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Cross Layer Approach for Neighbor Node Selection in VANET Routing

机译:VANET路由中用于选择邻居节点的跨层方法

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摘要

The Internet of Vehicles is an upcoming prototype, one which has introduced cutting edge applications and facilities which require the fulfillment of a certain Quality of Service (QoS). Vehicular Ad Hoc Networks (VANETs) are the backbone for IoV, providing the support for autonomous inter-vehicle communication and road safety management. The communication in VANETS is challenging as they suffer from several issues due to their intrinsic features such as higher vehicle mobility, rapidly changing topology, etc. Hence the strategies adopted in the routing layer play an important role in the overall application performance. Conventionally, in VANETs routing protocol design, each layer of the model is optimized individually, which does not satisfy dynamic system conditions in VANETs and lags behind the acceptable Quality of Service (QoS) standards. In this paper, we propose to design a novel cross layer based reliable vehicular routing model (CL-RVR), to facilitate reliable routing in VANETs, that would cater to QoS requirements for desired applications by combining the parameters from physical and network layers. Extensive experimental simulations are used to analyze the key performance metrics.
机译:车联网是一个即将到来的原型,它引入了需要满足一定服务质量(QoS)的尖端应用程序和设施。车载自组织网络(VANET)是IoV的骨干,为自主的车载通信和道路安全管理提供支持。 VANETS中的通信具有挑战性,因为它们的固有特征(例如更高的车辆机动性,快速变化的拓扑结构等)会遇到许多问题。因此,路由层中采用的策略在整体应用程序性能中起着重要作用。传统上,在VANET路由协议设计中,模型的每一层都是单独优化的,这不满足VANET中的动态系统条件,并且落后于可接受的服务质量(QoS)标准。在本文中,我们提议设计一种新颖的基于跨层的可靠的车辆路由模型(CL-RVR),以促进VANET中的可靠路由,通过结合物理层和网络层的参数来满足所需应用的QoS要求。广泛的实验模拟用于分析关键性能指标。

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