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A Smart Data Dissemination Protocol for Vehicular Ad-hoc Networks

机译:车载Ad-hoc网络的智能数据分发协议

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Vehicular Ad-hoc Networks (VANETs) have emerged as an interesting way to ensure Intelligent Transportation System (ITS) services. Indeed, various ITS applications related to road safety and transport efficiency are nowadays deployed through VANET. Given the high mobility of moving vehicles as well as the lack of fixed infrastructure, data dissemination has become a central topic in VANET. The thriving challenge would be to notify, in the right time, drivers about dangerous situations that may encounter them and avoiding as far as possible the network broadcast storm problem. In this respect, we introduce in this paper a new geocast data dissemination protocol based on the forward-if-relevant mechanism. In our proposal, a vehicle decides to rebroadcast or ignore the received event according to an estimated event relevance value. To this end, we rely on a data-mining technique to extract some interesting mobility patterns from the past trajectories of the vehicle, which are used latter for computing the relevance of the event for the vehicle. Performed simulations show the efficiency of the proposed protocol in terms of reachability ratio, precision, overhead and latency.
机译:车载自组织网络(VANET)已经成为确保智能运输系统(ITS)服务的一种有趣方式。实际上,如今已通过VANET部署了与道路安全和运输效率相关的各种ITS应用程序。鉴于移动车辆的高度机动性以及缺乏固定的基础设施,数据分发已成为VANET的中心主题。蓬勃发展的挑战将是在适当的时间通知驾驶员可能遇到的危险情况,并尽可能避免网络广播风暴问题。在这方面,我们在本文中介绍了一种基于前向相关机制的新的地理广播数据分发协议。在我们的建议中,车辆会根据估算的事件相关性值决定重播或忽略接收到的事件。为此,我们依靠数据挖掘技术从车辆的过去轨迹中提取一些有趣的移动性模式,这些模式随后用于计算事件与车辆的相关性。进行的仿真显示了所提出协议在可达性比,精度,开销和等待时间方面的效率。

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