Semi uniform segmentation technique in headway model on vehicles communication

T. Juhana, Wayan Yogiyana
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Abstract

In DSRC Consortium, a vehicle in the VANET network must be able to communicate with other vehicles with transmission range 10 seconds. Segmentation technique is a technique that divides the distance of the communication transmission range of a vehicle into several segments and do not overlap. There are two segmentation techniques namely uniform and non- uniform. However it does not answer the problem that the vehicle is a node with a very high mobility which can move quickly between segments. It requires the probability of packet collisions between vehicles should be same in each segment. Thus, this study makes a modeling segmentation technique which adopts modeling headway Distribution Semi Poisson which is called semi-uniform segmentation technique. This technique is expected to give boundaries in communication segment vehicles which can answer these problems. This study used several parameters such as traffic volume, speed data rate, and 3 VANET applications namely electronic emergency brake light (EEBL), approaching emergency vehicle (AEV) and traffic information (TI). The volume of traffic is divided into two, namely 300 vehicles/hour (low traffic) and 1,500 vehicles/hour (high traffic) while speed of the data rate is divided into two, 3 Mbps and 6 Mbps.
车辆通信车头时距模型中的半均匀分割技术
在DSRC联盟中,VANET网络中的车辆必须能够与其他车辆进行通信,传输范围为10秒。分段技术是将车辆的通信传输距离划分为若干段且不重叠的技术。有均匀分割和非均匀分割两种技术。然而,它并没有解决车辆是一个具有非常高机动性的节点的问题,它可以在段之间快速移动。它要求车辆之间的分组碰撞概率在每个路段应该是相同的。因此,本研究提出了一种采用车头距分布半泊松模型的建模分割技术,称为半均匀分割技术。该技术有望在通信段车辆中给出边界,从而解决这些问题。本研究采用交通量、速度数据速率等参数,以及3种VANET应用,即电子紧急刹车灯(EEBL)、接近紧急车辆(AEV)和交通信息(TI)。流量分为300辆/小时(低流量)和1500辆/小时(高流量)两种,数据速率分为3mbps和6mbps两种。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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