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

机译:基于上下文的BSM聚合,用于车辆网络中的广泛应用

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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U.S中,已经提出了俗称心跳消息的基本安全消息(BSM)作为所连接的车辆安全应用程序使用的主要消息集,以便在车辆临时网络(VANET)内不断地交换数据。 BSM通过专用短程通信(DSRC)每秒传送大约10次,以专门用于安全上下文。一旦使用BSM,它会变得过时并被破坏。尽管如此,BSM主要开发用于安全背景下,它具有宽松的使用领域。其他连接的车辆非安全应用,如效率,环境,天气和移动性,也可以使用消息中的数据。一系列重要的非安全应用需要各种BSM数据元素。 BSM部分的核心数据元素之一,如果否则分组和发送,它们可以单独且充分地提供广泛应用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杂交聚合(ALFA)方案,允许BSM在车辆上被缓存,根据不同的上下文智能地聚合,然后在包含每个巷道的存储快照的新消息中发送。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架构,以提供具有所需信息的广泛应用程序。我们的ALFA方案的主要新颖性是其对改变主动安全运输数据(BSM)的贡献,使其更有价值,导致可靠和有用的数据源,以及一个有效的运输网络缩放到大面积。在与车辆移动性相关的研究案例之后,获得的结果表明,ALFA增强了BSM的有用性并提供了具有有用输入数据的移动性应用。

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