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CaSSaM: Context-aware System for Safety Messages Dissemination in VANETs

机译:CaSSaM:VANET中用于安全消息分发的上下文感知系统

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Context-aware systems have a high potential of application in mobile networks because the context in which they operate is highly dynamic. In particular, vehicular ad-hoc networks (VANETs) provide scenarios where context-aware systems could be critical to enhance the performance of protocols that depend on network and traffic conditions, to detect hostile environments as well as to offer a novel way to make decisions in real-time. In this paper, we present CaSSaM, a context-aware system that combines information in a decentralized way, from the state of the communications network and the vehicular traffic, with the aim at classifying the scenario in which the VANET is operating. With information about the operation scenario, it will be possible for protocols, for example, a dissemination mechanism, to adequate its parameters with the values that work best in such a context, improving in this way the general performance of the protocol. Our initial results show the evaluation of a well-known dissemination mechanism, namely the “Slotted 1-persistence”, with different values of parameters according to different operation scenarios. We show how the VANET performance could be improved, or worsened, by choosing different parameter values, and how CaSSaM can help in selecting the proper set of values when the scenario of operation is known.
机译:上下文感知系统在移动网络中具有很高的应用潜力,因为它们在其中运行的上下文是高度动态的。尤其是,车辆自组织网络(VANET)提供了以下场景:上下文感知系统对于提高依赖于网络和流量条件的协议的性能,检测敌对环境以及提供新颖的决策方法至关重要。实时。在本文中,我们介绍了CaSSaM,这是一个上下文感知的系统,它以分散的方式将来自通信网络的状态和车辆流量的信息进行组合,目的是对VANET运行的情况进行分类。利用有关操作场景的信息,协议(例如,传播机制)将有可能在这种情况下使用最合适的值来充实其参数,从而以这种方式提高协议的总体性能。我们的初步结果表明,评估了一种众所周知的传播机制,即“ Slotted 1-persistence”,根据不同的操作场景使用不同的参数值。我们展示了如何通过选择不同的参数值来提高或降低VANET性能,以及在已知操作方案的情况下CaSSaM如何帮助选择合适的值集。

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