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Disseminate Warning Message in VANETs Based on Predicting the Interval of Vehicles

机译:基于预测车辆间隔在VANET中发布警告消息

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Vehicular ad hoc networks (VANETs) are emerging as a new network environment for intelligent transportation systems (ITS). In many applications envisaged for VANETs, traffic information needs to be disseminated to relevant vehicles during a duration of time. Here we present a model of warning message dissemination in VANETs. The idea in our model is that vehicles on a stretch of roads carry warning messages to vehicles in the opposite direction, so as to warn them regarding a dangerous situation ahead. The objective is that as much as possible of the vehicles in the opposite direction receive the warning before they reach the warning line, whereas as few messages are broadcasted as possible. In this model, we mainly use vehicles traveling in opposite direction to reduce broadcast overhead and help message delivery upstream. Furthermore, we dynamically adjust the effect distance of individual relay vehicles through predicting the interval of vehicles in one lane, thus the relay vehicles can stop broadcasting in time in order to reducing unnecessary broadcasts while keeping the warning message in the affected area. Simulations show us the quality of the proposed model by measuring how many affected vehicles are informed in time and the broadcast overhead under various conditions.
机译:车载自组织网络(VANET)逐渐成为智能交通系统(ITS)的新网络环境。在针对VANET设想的许多应用中,需要在一段时间内将交通信息传播到相关车辆。在这里,我们提出了在VANET中传播警告消息的模型。我们模型中的想法是,在一段漫长的道路上,车辆会向相反的方向向车辆发送警告消息,以警告他们前方的危险情况。目的是,尽可能多的沿相反方向的车辆在到达警告线之前会收到警告,而尽可能少地广播消息。在此模型中,我们主要使用反向行驶的车辆来减少广播开销并帮助上游消息传递。此外,我们通过预测一条车道的车辆间隔来动态调整各个中继车辆的作用距离,从而中继车辆可以及时停止广播,以减少不必要的广播,同时将警告消息保留在受影响的区域。仿真通过测量及时通知了多少受影响的车辆以及在各种条件下的广播开销,向我们展示了所提出模型的质量。

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