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车载通信中增强型多跳广播算法研究
Researcb on Enbanced Multi-Hop Broadcast Algoritbm in Vebicular Communications
- 电信科学 2014年30卷第9期 页码：100-105
- 作者机构：
1. 南京邮电大学通信与信息工程学院 南京210003
2. 南京邮电大学物联网技术与应用协同创新中心 南京210003
- 作者简介：
[ "赵海涛，男，博士，南京邮电大学通信与信息工程学院讲师、硕士生导师、博士后（在站），主要研究方向为无线多媒体通信。" ]
[ "朱洪波，男，博士，南京邮电大学教授、博士生导师、博士后合作导师，南京邮电大学副校长，主要研究方向为物联网与下一代网络技术。" ]
[ "刘南杰，男，博士，南京邮电大学教育部宽带无线通信技术工程研究中心教授、硕士生导师，江苏南亿迪纳数字科技发展有限公司CEO、首席科学家，主要研究方向为泛在通信、车联网、智能交通。" ]
[ "蔡耿雄，男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为移动通信与无线技术、车辆协作定位。" ]
- 基金信息：国家重点基础研究发展计划（“973”计划）基金资助项目;The National Basic Research Program of China (973 Program)(2013CB329005);国家自然科学基金资助项目(61302100;61101105;61201162);中国博士后研究基金资助项目(2013M531391);教育部博士点基金资助项目(20133223120002);学研究基金资助项目(BK2011027;BK2012434;1202083C;12KJB510022;12KJB510020);南京邮电大学引进人才科研启动基金资助项目(NY211007;NY211006)
DOI：10.3969/j.issn.1000-0801.2014.09.014
中图分类号：-
网络出版日期：2014-09，
纸质出版日期：2014-09-20
- 稿件说明：
移动端阅览
赵海涛, 朱洪波, 刘南杰, 等. 车载通信中增强型多跳广播算法研究[J]. 电信科学, 2014,30(9):100-105.
Haitao Zhao, Hongbo Zhu, Nanjie Liu, et al. Researcb on Enbanced Multi-Hop Broadcast Algoritbm in Vebicular Communications[J]. Telecommunications science, 2014, 30(9): 100-105.
赵海涛, 朱洪波, 刘南杰, 等. 车载通信中增强型多跳广播算法研究[J]. 电信科学, 2014,30(9):100-105. DOI： 10.3969/j.issn.1000-0801.2014.09.014.
Haitao Zhao, Hongbo Zhu, Nanjie Liu, et al. Researcb on Enbanced Multi-Hop Broadcast Algoritbm in Vebicular Communications[J]. Telecommunications science, 2014, 30(9): 100-105. DOI： 10.3969/j.issn.1000-0801.2014.09.014.
摘要
提出了一种高速公路场景下基于邻居信息的增强型多跳广播协议（enhanced neighbor information-based muti-hop broadcast protocol
ENIMBP），提出的协议利用车辆的邻居信息同时结合车辆的位置、行驶速度和方向来确定转发等待时间，以选择最优的转发车辆。根据车辆的位置，ENIMBP可以初步确定与广播车辆距离不同的车辆的转发等待时间。而在与广播车辆距离相同的情况下，ENIMBP则利用车辆速度和方向来区分转发等待时间。ENIMBP很好地解决了高速公路场景下的网络分割问题以及隐藏／暴露节点问题。仿真结果表明，在不同的车辆密度场景下，ENIMBP能显著地降低端到端时延，同时保持较好的分组到达率。
Abstract
An enhanced neighbor information-based multi-hop broadcast protocol（ENIMBP）in highway scenarios was proposed
which calculated the forwarding waiting time by using vehicle neighbor information as well as position
speed and direction to select the optimal forwarding vehicle. In order to calculate the forwarding waiting time
ENIMBP employed position information for vehicles which with different distance to the broadcasting vehicle
while used speed and direction in addition for those with the same distance to the broadcasting vehicle. ENIMBP is a good solution to segmentation problem and hidden／exposed node problem in highway scenarios. Simulation results show that ENIMBP can significantly reduce the end to end delay in a sparse network
while maintaining a high packet delivery ratio.
关键词
Keywords
references
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