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首页> 外文期刊>MATEC Web of Conferences >AODV Routing Protocol Modification With Dqueue(dqAODV) and Optimization With Neural Network For VANET In City Scenario
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AODV Routing Protocol Modification With Dqueue(dqAODV) and Optimization With Neural Network For VANET In City Scenario

机译：城市场景中VANET的AODV路由协议修改（dqAODV）和神经网络优化

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Vehicular ad hoc network (VANET) is considered as a sub-set of mobile ad hoc network (MANET). VANET can provide road safety by generating collision warning messages before a collision takes place, lane change assistance; can provide efficient traffic system by introducing cooperation among vehicles; and can also improves in infotainment applications like cooperative file accessing, accessing internet, viewing movies etc. It provides smart Transportation System i.e., wireless ad-hoc communication among vehicles and vehicle to roadside equipments. VANET communication broadly distinguished in two types; 1) vehicle to vehicle interaction, 2) vehicle to infrastructure interaction. The main objective of VANET is to provide safe, secure and automated traffic system. For this automated traffic techniques, there are several types of routing protocols has been developed. MANET routing protocols are not equally applicable in VANET. In the recent past Roy and his group has proposed several study in VANET transmission in [1-3]. In this study, we propose a modified AODV routing protocol in the context of VANET with the help of dqueue introduction into the RREQ header. Recently Saha et al [4] has reported the results showing the nature of modified AODV obtained from the rudimentary version of their simulation code. It is mainly based on packet delivery throughput. It shows greater in-throughput information of packet transmission compare to original AODV. Hence our proposal has less overhead and greater performance routing algorithm compared to conventional AODV. In this study, we propose and implement in the NCTUns-6.0 simulator, the neural network based modified dqueue AODV (dqAODV) routing protocol considering Power, TTL, Node distance and Payload parameter to find the optimal route from the source station (vehicle) to the destination station in VANET communications. The detail simulation techniques with result and output will be presented in the conference.
机译：车载自组织网络（VANET）被视为移动自组织网络（MANET）的子集。 VANET可以通过在发生碰撞之前生成碰撞警告消息来提供道路安全，变道辅助;通过引入车辆之间的合作，可以提供有效的交通系统;并可以改善信息娱乐应用程序，例如协作文件访问，访问互联网，观看电影等。它提供了智能交通系统，即车辆之间以及车辆与路边设备之间的无线即席通信。 VANET通信大致分为两种类型： 1）车辆对车辆的交互，2）车辆对基础设施的交互。 VANET的主要目标是提供安全，可靠和自动化的交通系统。对于这种自动交通技术，已经开发了几种类型的路由协议。 MANET路由协议不适用于VANET。最近，Roy和他的小组在[1-3]中提出了一些有关VANET传输的研究。在这项研究中，我们借助于在RREQ标头中引入队列，在VANET的上下文中提出了一种改进的AODV路由协议。最近，Saha等人[4]报告了结果，这些结果显示了从其仿真代码的基本版本获得的修改后的AODV的性质。它主要基于数据包传递吞吐量。与原始AODV相比，它显示出更大的数据包传输吞吐量信息。因此，与传统的AODV相比，我们的建议具有更少的开销和更高的性能路由算法。在这项研究中，我们提出并在NCTUns-6.0仿真器中实现并实现了基于神经网络的改进dqueue AODV（dqAODV）路由协议，该协议考虑了Power，TTL，节点距离和有效载荷参数，以找到从源站点（车辆）到目标站点的最佳路径。 VANET通信中的目标站。大会将介绍详细的仿真技术以及结果和输出。

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