车载网络内容分发仿真

Goncalo Pessoa, R. Dias, T. Condeixa, João Azevedo, Lucas Guardalben, S. Sargento
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引用次数: 15

摘要

本文介绍了mOVERS (mobile Opportunistic vehicle Emulator for Real scenario),这是一个能够在车辆网络中重建可扩展的车辆数据收集和内容分发场景的模拟器,它复制了车辆车载单元(OBUs)的相同软件,并集成了真实的车辆网络数据,如车辆的移动性和连接性。该模拟器与mOVE(移动机会车辆)DTN平台一起工作,它包含一个基本的数据传播机会方法,可用于开发、测试和评估路由机制和数据传输策略,用于通过车辆收集数据,以及从基础设施到车辆的内容分发策略。一个真实的繁忙/非繁忙城市中心场景的结果表明,所提出的仿真器是一个可靠的平台,可以在各种地理环境和时间相关分析中轻松开发和评估新协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content distribution emulation for vehicular networks
This paper presents mOVERS (mobile Opportunistic Vehicular Emulator for Real Scenarios), an emulator capable to recreate scalable vehicular scenarios of data gathering and content distribution in vehicular networks, which replicates the same software of the vehicular On-Board Units (OBUs), and integrates real vehicular network data such as mobility of vehicles and connectivity. This emulator works with mOVE (mobile Opportunistic VEhicular) DTN platform, and it contains a base opportunistic approach for data dissemination, that can be used to develop, test and evaluate routing mechanisms and data delivery strategies for both data gathering through vehicles, and content distribution strategies from the infrastructure to the vehicles. The results of a real rush/non-rush city-center scenario show that the proposed emulator is a solid platform to easily develop and evaluate new protocols in a variety of geographical contexts and time related analysis.
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