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A novel selective cross layer based routing scheme using ACO method for vehicular networks

机译:一种新的基于ACO的基于选择性跨层的车载网络路由方案

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摘要

Internet of Vehicles (IoVs) as one of the developing paradigm in the current scenario intends to present a plenty of inventive applications and services. These developing applications force to attain a specific quality of service (QoS) requirements for Vehicle Ad-Hoc Networks (VANETs). Because of high node density and substantial mobility the complexity of VANET increases tremendously, which results the process of routing, security and QoS challenging. This yields an emerging need to design a more productive and intellectual routing protocol in VANET. In this paper we propose a novel selective cross layer design based Ant Colony Optimized Ad-Hoc On Demand Distance Vector (ACO-AODV) routing protocol. The cross-layer design proposed in this work selectively optimizes the information acquired from Application (APP) layer, Transport layer; physical layer and the Media Access Control (MAC) layer in the networks. We used the advantage of ACO to resolve the route selection issue and Particle Swarm Optimization (PSO)based MAC scheduling mechanism for slot assignment during data transmission. Simulation results & Comparisons are presented to show the significance of the proposed routing protocol with improved QoS.
机译:车辆互联网(IoV)作为当前场景中的发展范例之一,旨在提供大量的发明应用程序和服务。这些不断发展的应用程序迫使对车辆自组织网络(VANET)达到特定的服务质量(QoS)要求。由于节点密度高和移动性强,VANET的复杂性大大增加,这对路由,安全性和QoS提出了挑战。这就产生了在VANET中设计更高效和智能路由协议的新兴需求。在本文中,我们提出了一种基于蚁群优化的Ad-Hoc按需距离矢量(ACO-AODV)路由协议的新型选择性跨层设计。在这项工作中提出的跨层设计选择性地优化了从应用程序(APP)层,传输层获取的信息;网络中的物理层和媒体访问控制(MAC)层。我们利用ACO的优势来解决路由选择问题,并使用基于粒子群优化(PSO)的MAC调度机制在数据传输期间进行时隙分配。仿真结果与比较结果表明,所提出的路由协议具有改进的QoS的重要性。

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