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MoVES: A framework for parallel and distributed simulation of wireless vehicular ad hoc networks

机译:MoVES:无线车辆自组织网络的并行和分布式仿真框架

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摘要

In this paper, we illustrate a Mobile Wireless Vehicular Environment Simulation (MoVES) framework for the parallel and distributed simulation of vehicular wireless ad hoc networks (VANETs). The proposed framework supports extensible, module-based and layered modeling, and scalable, accurate and efficient simulation of vehicular scenarios integrated with wireless communication and mobile services/applications. The vehicular layer includes models for vehicles, synthetic and trace-driven mobility, driver behavior, GPS-based street maps, intersection policies and traffic lights. The wireless communication layer currently includes models for physical propagation, and a network protocol stack including IEEE 802.11 Medium Access Control, up to the Application layer. MoVES provides a platform for microscopic modeling and simulation-based analysis of wireless vehicular scenarios and communication-based services and applications, like Intelligent Transportation Systems, communication-based monitoring/control and info-mobility services. The framework includes design solutions for scalable, accurate and efficient parallel and distributed simulation of complex, vehicular communication scenarios executed over cost-effective, commercial-off-the-shelf (COTS) simulation architectures. Dynamic model partition and adaptation-based load balancing solutions have been designed by exploiting common assumptions and model characteristics, in a user-transparent way. Test-bed performance evaluation for realistic scenarios has shown the effectiveness of MoVES in terms of simulation efficiency, scalability, adaptation and simulation accuracy.
机译:在本文中,我们说明了用于车辆无线自组织网络(VANET)的并行和分布式仿真的移动无线车辆环境仿真(MoVES)框架。提出的框架支持可扩展的,基于模块的分层建模,以及与无线通信和移动服务/应用程序集成的车辆场景的可扩展,准确和高效的仿真。车辆层包括用于车辆,合成和跟踪驱动的移动性,驾驶员行为,基于GPS的街道地图,交叉路口策略和交通信号灯的模型。无线通信层当前包括用于物理传播的模型,以及直到应用层的包括IEEE 802.11介质访问控制的网络协议堆栈。 MoVES为无线车辆场景以及基于通信的服务和应用(例如智能交通系统,基于通信的监视/控制和信息移动服务)的微观建模和基于仿真的分析提供了一个平台。该框架包括设计解决方案,这些解决方案可通过具有成本效益的现成(COTS)仿真架构执行复杂,车载通信场景的可扩展,准确,高效的并行和分布式仿真。动态模型分区和基于适应的负载平衡解决方案已经通过以用户透明的方式利用常见的假设和模型特征进行了设计。针对实际场景的测试台性能评估已显示出MoVES在仿真效率,可伸缩性,适应性和仿真精度方面的有效性。

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