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面向车联网路由的转发链路增强算法
引用本文:于家培,王萍,祝捷.面向车联网路由的转发链路增强算法[J].软件,2019(1):150-155.
作者姓名:于家培  王萍  祝捷
作者单位:1.东华大学信息科学与技术学院
摘    要:在未来车联网的设计中,基于安全类消息集对高可靠低时延的要求,可以在车联网路由设计中引入V2V机制。针对V2V链路不稳定的问题,提出了一种基于信道感知的转发链路增强算法FLEA (Forward Link Enh-anced Algorithm)。首先,基于对周边车辆的历史位置及速度信息的采集对车辆进行记忆性位置预测,然后结合信道感知计算当前时刻通信覆盖范围,预测位置在通信覆盖范围内的车辆通信链路是可靠的。将贪婪转发算法与FLEA算法结合引入到车联网路由设计中,仿真结果表明所提算法可以提升数据包投递率,并且有效降低端到端时延。

关 键 词:车联网路由  V2V  记忆性位置预测  信道感知  贪婪算法

Forward Link Enhanced Algorithm in VANET Routing
YU Jia-pei,WANG Ping,ZHU Jie.Forward Link Enhanced Algorithm in VANET Routing[J].Software,2019(1):150-155.
Authors:YU Jia-pei  WANG Ping  ZHU Jie
Affiliation:(College of Information Science and Technology, Donghua University, Shanghai 201600)
Abstract:In the design of the future internet of vehicles, based on the security message set requirements for high reliability and low latency, V2V mechanism can be introduced in the vehicle network routing design. Aiming at the problem of V2V link instability, an environment-aware forward link enhanced algorithm is proposed. Firstly, based on the collection of historical location and speed information of surrounding vehicles, the memory position prediction is performed, and then the communication coverage of the current time is calculated in combination with radio channel sensing. The vehicle whose position predicted is within the communication coverage is reliable to be chosen. The greedy forwarding algorithm and FLEA algorithm are combined into the routing design of the internet of vehicles and the simulation results show that the proposed algorithm can improve the packet delivery rate and effectively reduce the end-to-end delay.
Keywords:VANET routing  V2V  Memory position prediction  Radio channel sensing  Greedy algorithm
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