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Context-based BSM Aggregation for Broad-Scale Applications in Vehicular Networks

机译:面向车载网络的大规模应用的基于上下文的BSM聚合

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In the U.S, the Basic Safety Message (BSM), commonly known as heartbeat message, has been proposed as the primary message set used by the connected vehicles' safety applications to constantly exchange data within the vehicular ad hoc networks (VANETs). BSM is communicated around 10 times per second through Dedicated Short-Range Communications (DSRC) to be exclusively used in the safety context. Once the BSM is used, it becomes obsolete and is destroyed. Nevertheless, albeit the BSM has been primarily developed to be used in the safety context, it has a capacious field of use. Other connected vehicle non-safety applications, like efficiency, environment, weather and mobility, may also use the data in the message. A wide range of BSM data elements are required by an important bunch of non-safety applications. Leastwise, core data elements of the BSM part one if cached, grouped and sent otherwise, they can solely and adequately provide the vehicle-based information needed for broad-scale applications. In this paper, we propose an Application-Level Flextime Aggregation (ALFA) scheme, allowing BSMs to be cached on-board the vehicle, intelligently aggregated according to different contexts and then sent in new message containing stored snapshots for every stretch of roadway. These new messages could be sent to vehicles and infrastructures, via Wi-Fi, digital cellular, or over a combination of all to provide broad-scale applications with needed information. The main novelty of our ALFA scheme is its contribution to change the way active safety transportation data (BSM) is treated, making it more valued, resulting in reliable and useful data source, and an efficient transportation network scaling to large areas. After a study case relevant to the vehicles mobility, obtained results showed that ALFA enhances the BSM' usefulness and provide mobility applications with useful input data.
机译:在美国,已经提出了基本安全消息(BSM),通常称为心跳消息,它是所连接的车辆的安全应用程序用来在车载自组织网络(VANET)中不断交换数据的主要消息集。通过专用短距离通信(DSRC),BSM每秒大约以10次通信,专门用于安全环境。一旦使用了BSM,它就会过时并被破坏。但是,尽管BSM主要是为了在安全环境中使用而开发的,但它具有广阔的使用范围。其他连接的车辆非安全应用程序(例如效率,环境,天气和移动性)也可以使用消息中的数据。一堆重要的非安全应用程序需要各种各样的BSM数据元素。至少,如果对BSM的核心数据元素进行缓存,分组和发送,则它们是第一部分,它们可以单独并充分地提供大规模应用程序所需的基于车辆的信息。在本文中,我们提出了一种应用程序级灵活时间聚合(ALFA)方案,该方案允许将BSM缓存在车辆上,根据不同的上下文进行智能聚合,然后以包含已存储快照的新消息的形式发送给每条道路。这些新消息可以通过Wi-Fi,数字蜂窝或全部组合发送到车辆和基础设施,以为大规模应用程序提供所需的信息。我们的ALFA计划的主要新颖之处在于它为改变主动安全运输数据(BSM)的处理方式做出了贡献,使其更具价值,从而产生了可靠且有用的数据源,并有效地将运输网络扩展到了大范围。经过与车辆机动性相关的研究案例后,获得的结果表明,ALFA增强了BSM的实用性,并为机动性应用程序提供了有用的输入数据。

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