Reliable Routing with Roadside-aided Prediction in Vehicular Ad Hoc Networks

REN Zhi; LV Yu-hui; ZHANG Yong

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Reliable Routing with Roadside-aided Prediction in Vehicular Ad Hoc Networks

更新时间：2026-09-04

- Reliable Routing with Roadside-aided Prediction in Vehicular Ad Hoc Networks
- Vol. 35, Issue 4, Pages: 58-62(2018)
- 作者机构：
  
  重庆邮电大学机构移动通信技术重庆市重点实验室,重庆,400065
- 作者简介：
- 基金信息：
- DOI：
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- Published：2018
- 稿件说明：
移动端阅览
任智, 吕昱辉, 张勇. 车载自组网中基于路侧单元预测的可靠路由算法[J]. 微电子学与计算机, 2018, 35(4): 58-62, 67.

REN Zhi, LV Yu-hui, ZHANG Yong. Reliable Routing with Roadside-aided Prediction in Vehicular Ad Hoc Networks[J]. 2018, 35(4): 58-62.
任智, 吕昱辉, 张勇. 车载自组网中基于路侧单元预测的可靠路由算法[J]. 微电子学与计算机, 2018, 35(4): 58-62, 67. DOI：

REN Zhi, LV Yu-hui, ZHANG Yong. Reliable Routing with Roadside-aided Prediction in Vehicular Ad Hoc Networks[J]. 2018, 35(4): 58-62. DOI：

摘要

现有利用地图和RSU(Roadside Unit)辅助的路由算法在利用RSU对目的节点的位置进行预测过程中

没有考虑节点速度为零

导致对目的节点的预测范围不准

且RSU在对节点进行预测后

利用地图选取的到目的节点的最短路径不是最优路径

对此提出RRRP(Reliable Routing with Roadside-aided Prediction in Vehicular Ad Hoc Networks)机制.RRRP采用可靠预测机制

确保数据包的成功发送

利用密度感知机制

使RSU计算的到目的节点的路径是最优路径.仿真结果表明

RRRP机制能有效提高数据的传送成功率和吞吐量

降低消息的平均端到端时延.

Abstract

To solve the problem that the existing routing algorithms

which use digital map and roadside units

have not considered the situation that the nodes velocity is zero with roadside-aided predicting the nodes destination. The situation will cause the prediction range out of date. And the route using the digital map to construct

which is made up of the shortest roads

is not the most optimal routing path. A Reliable Routing with Roadside-aided Prediction in Vehicular Ad Hoc Networks (RRRP) is proposed. RRRP use the reliable prediction and density aware mechanism to make sure the data successfully delivered to the destination. The simulation shows that RRRP can improve the packet deliver ratio and the throughput

reduce the end to end delay.

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references

陈林星, 曾曦, 曹毅. 移动Ad Hoc网络: 自组织分组无线网络技术[M]. 北京: 电子工业出版社, 2012.

Li Z, Zhu Y, Li M. Practical location-based routing in vehicular ad hoc networks[C]//Mobile Ad Hoc and Sensor Systems. IEEE, 2009: 900-905.

Li L, Sun L. Seer: Trend-prediction-based geographic message forwarding in sparse vehicular networks[C]//IEEE International Conference on Communications. Cape Town: IEEE, 2010: 1-5.

陈敏. OPNET网络仿真[M]. 北京: 清华大学出版社, 2004.

Paul B, Ibrahim M, Bikas M A N. VANET routing protocols: pros and cons[J]. International Journal of Computer Applications, 2012, 20(3): 28-34. DOI: 28

Khaleel M, Hassan A, Mario G. We can deliver messages to far vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(3): 1099-1115. DOI: 1099

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