R2D2V: RNC based Regional Data Distribution on VANETs

Naruhiro Kusumine, S. Ishihara
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引用次数: 5

Abstract

In this paper, we discuss a method for continuously providing location-dependent information generated by vehicles to other vehicles being driven in the surrounding areas of a location where the information was generated during the information effctive period using Vehicular Ad hoc NETworks (VANETs). When many vehicles simultaneously disseminate data items in an area where the vehicle density is high by using opportunistic way on VANETs, many redundant packets are sent, and this leads to many packet collisions, and wastes wireless communication resources. To tackle the problem, we designed a scheme called R2D2V (RNC-based Regional Data Distribution on VANETs). R2D2V consists of (1) using random network coding (RNC), (2) adaptive changing Hello sending intervals, and (3) adaptive changing the probability of replying to Hello messages according to the vehicular density. Simulation results show that this scheme achieves a high data delivery ratio with low data delivery traffic and low delay when the vehicle density is high.
基于RNC的VANETs区域数据分布
在本文中,我们讨论了一种方法,该方法使用车辆自组织网络(VANETs),在信息有效期内,将车辆生成的位置相关信息持续提供给在位置周围区域行驶的其他车辆。在VANETs上,当多辆车在车辆密度高的区域内,利用投机的方式同时传播数据项时,会产生大量冗余的数据包,造成数据包碰撞,浪费无线通信资源。为了解决这个问题,我们设计了一个R2D2V(基于rnc的VANETs区域数据分布)方案。R2D2V包括(1)使用随机网络编码(RNC),(2)自适应改变Hello发送间隔,(3)根据车辆密度自适应改变应答Hello消息的概率。仿真结果表明,在车辆密度较大的情况下,该方案能够以较低的数据传输流量和较低的延迟实现较高的数据传输率。
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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