[1]马宁,张义兵,束永安. 基于网络编码的车载网数据传输性能的研究[J].计算机技术与发展,2016,26(05):36-39.
　MA Ning,ZHANG Yi-bing,SHU Yong-an. Research on Data Transmission Performance in VANET Based on Network Coding[J].,2016,26(05):36-39.
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 基于网络编码的车载网数据传输性能的研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年05期
页码:
36-39
栏目:
智能、算法、系统工程
出版日期:
2016-05-10

文章信息/Info

Title:
 Research on Data Transmission Performance in VANET Based on Network Coding
文章编号:
1673-629X（2016)05-0036-04
作者:
 马宁; 张义兵; 束永安
 安徽大学 计算机科学与技术学院
Author(s):
 MA Ning; ZHANG Yi-bing; SHU Yong-an
关键词:
 ; 车载网; 车辆与车辆; 车辆与路侧单元; 混合通信结构; 改进的随机线性网络编码
Keywords:
 ; VANET; V2V ; V2I ; hybrid communication structure;  ORLNC
分类号:
TP393
文献标志码:
A
摘要:
 车载网通过车辆与车辆(Vehicle to Vehicle,V2V)或车辆与路侧单元(Vehicle to Infrastructure,V2I)之间的数据传输实现通信.车载网络不同于传统无线网络,具有网络拓扑变化快、节点受限、网络间断性联通等特点.由于车辆高速移动以及街道障碍物阻挡等原因,车载网络分割现象更加严重,路由问题更加复杂.因此车载网中数据传输性能面临着信道负载大、传输延时高、带宽利用率低等的挑战.为了提高车载网数据传输的效率并降低转发延时,文中在混合通信结构(V2V&V2I)中,提出了一种改进的随机线性网络编码(Optimized Random Linear Network Coding,ORLNC)技术,同时采用车辆路径近似度来确定下一转发车辆节点.NS-3和MOVE仿真实验表明,ORLNC与现有的DDR协议算法相比,明显降低了转发延时,提高了传输效率,同时该协议算法不仅适用于密集车载网,也适用于稀疏场景中数据的传输.
Abstract:
 Through data transmission between Vehicle to Vehicle ( V2V) or Vehicles to Infrastructure ( V2I) roadside units,vehicular network achieves communication. Vehicular network is different from traditional wireless networks,which has the unique characteristics, such as fast network topology changes,node constraints,intermittent network connectivity and so on. Due to the high speed of vehicle and the obstruction of the barrier in the streets,the vehicle network segmentation is more serious and the routing problem is more complex. Data transmission performance in vehicle network faces change,including channel load,high transmission delay,low bandwidth utilization and so on. In order to improve the efficiency of data transmission and reduce the forwarding delay,an Optimized Random Linear Network Coding (ORLNC) is proposed in the hybrid communication structure (V2V&V2I). Simulation experiments by NS-3 and MOVE show that ORLNC significantly reduces forwarding delay and improves transmission efficiency compared with the DDR. At the same time,this algorithm is not only applied in dense vehicular networks,but also suitable for the transmission of data in sparse scenario.

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更新日期/Last Update: 2016-09-19