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An Interest-Based Approach for Reducing Network Contentions in Vehicular Transportation Systems

机译:基于兴趣的减少车辆运输系统中网络竞争的方法

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摘要

Traffic management systems (TMS) are the key for dealing with mobility issues. Moreover, 5G and vehicular networking are expected to play an important role in supporting TMSs for providing a smarter, safer and faster transportation. In this way, several infrastructure-based TMSs have been proposed to improve vehicular traffic mobility. However, in massively connected and multi-service smart city scenarios, infrastructure-based systems can experience low delivery ratios and high latency due to packet congestion in backhaul links on ultra-dense cells with high data traffic demand. In this sense, we propose I am not interested in it (IAN3I), an interest-based approach for reducing network contention and even avoid infrastructure dependence in TMS. IAN3I enables a fully-distributed traffic management and an opportunistic content sharing approach in which vehicles are responsible for storing and delivering traffic information only to vehicles interested in it. Simulation results under a realistic scenario have shown that, when compared to state-of-the-art approaches, IAN3I decreases the number of transmitted messages, packet collisions and latency in up to 95%, 98% and 55% respectively while dealing with traffic efficiency properly, not affecting traffic management performance at all.
机译:交通管理系统(TMS)是处理流动性问题的关键。此外,预计5G和车载网络将在支持TMS提供更智能,更安全,更快捷的运输中扮演重要角色。通过这种方式,已经提出了几种基于基础设施的TMS,以改善车辆交通的流动性。但是,在大规模连接和多服务的智能城市场景中,基于基础架构的系统由于数据流量需求高的超密集小区的回程链路中的数据包拥塞,会导致低传输率和高延迟。从这个意义上讲,我们建议我对此不感兴趣(IAN3I),这是一种基于兴趣的方法,可减少网络争用,甚至避免TMS中的基础结构依赖性。 IAN3I支持完全分布式的交通管理和机会内容共享方法,其中车辆负责仅将交通信息存储和传递给对此感兴趣的车辆。在现实情况下的仿真结果表明,与最新方法相比,IAN3I最多减少了 95 98 55 ,同时正确处理流量效率,完全不影响流量管理性能。

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