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高速公路场景中的可靠独立位置式路由。

Reliable freestanding position-based routing in highway scenarios.

机构信息

Electronics and Telecommunications Department, CICESE Research Center, Ensenada, Baja California, Mexico.

出版信息

Sensors (Basel). 2012 Oct 24;12(11):14262-91. doi: 10.3390/s121114262.

DOI:10.3390/s121114262
PMID:23202159
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3522912/
Abstract

Vehicular Ad Hoc Networks (VANETs) are considered by car manufacturers and the research community as the enabling technology to radically improve the safety, efficiency and comfort of everyday driving. However, before VANET technology can fulfill all its expected potential, several difficulties must be addressed. One key issue arising when working with VANETs is the complexity of the networking protocols compared to those used by traditional infrastructure networks. Therefore, proper design of the routing strategy becomes a main issue for the effective deployment of VANETs. In this paper, a reliable freestanding position-based routing algorithm (FPBR) for highway scenarios is proposed. For this scenario, several important issues such as the high mobility of vehicles and the propagation conditions may affect the performance of the routing strategy. These constraints have only been partially addressed in previous proposals. In contrast, the design approach used for developing FPBR considered the constraints imposed by a highway scenario and implements mechanisms to overcome them. FPBR performance is compared to one of the leading protocols for highway scenarios. Performance metrics show that FPBR yields similar results when considering freespace propagation conditions, and outperforms the leading protocol when considering a realistic highway path loss model.

摘要

车对车自组织网络(VANETs)被汽车制造商和研究界视为一项使能技术,可以从根本上提高日常驾驶的安全性、效率和舒适性。然而,在 VANET 技术能够充分发挥其预期潜力之前,必须解决几个困难。在使用 VANET 时出现的一个关键问题是与传统基础设施网络相比,网络协议的复杂性。因此,路由策略的合理设计成为 VANET 有效部署的一个主要问题。本文提出了一种适用于高速公路场景的可靠独立位置的基于路由算法(FPBR)。对于这种场景,车辆的高移动性和传播条件等几个重要问题可能会影响路由策略的性能。这些约束在以前的提案中只得到了部分解决。相比之下,开发 FPBR 所使用的设计方法考虑了高速公路场景的约束,并实现了克服这些约束的机制。将 FPBR 的性能与高速公路场景的领先协议之一进行了比较。性能指标表明,在考虑自由空间传播条件时,FPBR 产生的结果相似,而在考虑现实的高速公路路径损耗模型时,FPBR 的性能优于领先协议。

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4
Introduction to the special issue on "New trends towards automatic vehicle control and perception systems".“自动车辆控制与感知系统的新趋势”特刊引言
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5
Identifying the key factors affecting warning message dissemination in VANET real urban scenarios.识别影响 VANET 真实城市场景中预警消息传播的关键因素。
Sensors (Basel). 2013 Apr 19;13(4):5220-50. doi: 10.3390/s130405220.
6
An infrastructureless approach to estimate vehicular density in urban environments.一种用于估计城市环境中车辆密度的无基础设施方法。
Sensors (Basel). 2013 Feb 11;13(2):2399-418. doi: 10.3390/s130202399.