Junction based urban scenario High Speed Node Detection (JBUS-HSND) and alerting system on VANET

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引用次数: 3

Abstract

Intelligent Transport System (ITS) is one of the major paradigms in Wireless Sensor Networks. Intelligent Transport System plays an important role because of its ability to enhance safety on vehicles. Due to the fact experimentation of data transmission scheme on large number of vehicles is very expensive in nature so such safety system on VANET should be tested in simulation to narrow down the gap. The HSND (High Speed Node Detection) Protocol is employed to ensure the detection of high speed node(HSN) and alerting the other nodes which are closer to the HSN node. The environment of VANET is generally of higher traffic dynamics and topology changes. It is a challenging issue to avail the required data transmission on Vehicle-To-Vehicle (V2V) channel. Considering the fact, focus on the detection of victim nodes and high speed indication on junction based urban scenario was not still obtained. In consideration of previous researches only semi urban message transmission and highway scenarios are considered. In this study, we simulate hundreds of IEEE 802.11p nodes on junction based urban scenario and each node is under the consideration of DSDV (Destination-Sequenced Distance-Vector). DSDV is a table driven routing scheme for Ad-Hoc Mobile Networks. As a result we found all the vehicles with in specific distance from HSN node gets alert and the victim node details are stored.
基于节点的城市场景高速节点检测(JBUS-HSND)和VANET报警系统
智能交通系统(ITS)是无线传感器网络的主要模式之一。智能交通系统在提高车辆安全性方面发挥着重要作用。由于在大量车辆上进行数据传输方案的实验是非常昂贵的,因此应该在VANET上对这种安全系统进行模拟测试,以缩小差距。HSND (High Speed Node Detection,高速节点检测)协议用于保证高速节点(HSN)被检测到,并向靠近HSN节点的其他节点发出警报。VANET的环境通常具有较高的流量动态性和拓扑变化。如何在车对车(V2V)信道上实现所需的数据传输是一个具有挑战性的问题。考虑到这一事实,仍然没有得到重点关注的受害者节点的检测和高速指示基于交叉口的城市场景。考虑到以往的研究只考虑了半城市信息传输和高速公路场景。在本研究中,我们在基于路口的城市场景中模拟了数百个IEEE 802.11p节点,每个节点都在DSDV (Destination-Sequenced Distance-Vector)的考虑下。DSDV是一种用于Ad-Hoc移动网络的表驱动路由方案。结果发现,所有距离HSN节点一定距离的车辆都得到了警报,并存储了受害节点的详细信息。
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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