Applied research of mobile IPv6 in high-speed railway mobile communication system

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (31): 79-81.

• 网络、通信、安全 • Previous Articles Next Articles

Applied research of mobile IPv6 in high-speed railway mobile communication system

MA Hongfeng1，2，ZHOU Yue3，DANG Jianwu2

1.Department of Electronic Information Engineering，Lanzhou Polytechnic College，Lanzhou 730050，China
2.College of Electronics and Information Engineering，Lanzhou Jiaotong University，Lanzhou 730070，China
3.Gansu Computing Center，Lanzhou 730000，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-11-01 Published:2011-11-01

高速铁路移动通信网移动IPv6应用研究

马宏锋1，2，周越3，党建武2

1.兰州工业高等专科学校电子信息工程系，兰州 730050
2.兰州交通大学电子与信息工程学院，兰州 730070
3.甘肃省计算中心，兰州 730000

Abstract

Abstract: Based on problems in the high-speed railway mobile communication system，the prediction-based handoff method of mobile high-speed railway has been proposed.According to the table for train path，mobile nodes designate the next access routing in advance before switching，judgment for switching directions is accurate，and configuration of subnet prefix，care-of address can be accomplished ahead.The switching efficiency will increase and problems such as low utilization of network resources and switching delay can be resolved via NS2 simulation experiments.

Key words: high-speed railway, mobile communication network, mobile IPv6, fast handoff, prediction

摘要： 针对高速铁路的运行特点，提出一种基于预测的高速铁路移动通信切换方法，引入列车路径信息表，移动节点切换到新链路前预先指定下一接入路由，准确判断切换方向，提前完成配置子网前缀和新转交地址过程。通过NS2仿真实验证明，该方法提高了切换效率，解决了网络资源利用率低和切换延迟大的问题。

关键词: 高速铁路, 移动通信网, 移动IPv6, 快速切换, 预测

MA Hongfeng1，2，ZHOU Yue3，DANG Jianwu2. Applied research of mobile IPv6 in high-speed railway mobile communication system[J]. Computer Engineering and Applications, 2011, 47(31): 79-81.

马宏锋1，2，周越3，党建武2. 高速铁路移动通信网移动IPv6应用研究[J]. 计算机工程与应用, 2011, 47(31): 79-81.

[1]	HUANG Dongyi, YANG Bing, WU Zihao, KUANG Jiayi, YAN Zeming. Spatio-Temporal Fully Connected Convolutional Neural Networks for Citywide Cellular Prediction [J]. Computer Engineering and Applications, 2021, 57(9): 168-175.
[2]	YANG Li, WU Yi, WEI Debin, PAN Chengsheng. Satellite Network Traffic Prediction Based on Spatiotemporal Correlation [J]. Computer Engineering and Applications, 2021, 57(7): 101-106.
[3]	CHANG Hao, CHEN Xiaolei, ZHANG Aihua, LI Ce, LIN Dongmei. Continuous Blood Pressure Prediction Based on Improved SENet Convolutional Neural Network [J]. Computer Engineering and Applications, 2021, 57(7): 130-135.
[4]	LIU Ziyan, YUAN Lei, ZHU Mingcheng, MA Shanshan, CHEN Linzhouting. YOLOv3 Traffic sign Detection based on SPP and Improved FPN [J]. Computer Engineering and Applications, 2021, 57(7): 164-170.
[5]	ZHANG Rui, WU Boxiong, ZHANG Liyuan, ZHANG Bo. Human Trajectory Prediction Method for Complex Scenes [J]. Computer Engineering and Applications, 2021, 57(6): 138-143.
[6]	YANG Fengyu, HUANG Yaxuan, ZHOU Shijian, ZHENG Wei. Survey of Software Defect Prediction Combined with Multi-metrics [J]. Computer Engineering and Applications, 2021, 57(5): 10-24.
[7]	LI Shuo, LIANG Yi. Prediction Model of Execution Time for Batch Application in Spark [J]. Computer Engineering and Applications, 2021, 57(5): 79-87.
[8]	XU Xianfeng, CAI Lulu, ZHANG Li. Photovoltaic Power Generation Prediction Algorithm Based on MLP and DBN [J]. Computer Engineering and Applications, 2021, 57(3): 266-272.
[9]	ZHENG Jianfeng, WANG Yingming. Research on Efficiency Confidence Interval Prediction Model Based on DEA-BP Neural Network [J]. Computer Engineering and Applications, 2021, 57(3): 273-278.
[10]	AN Weichao, YAN Ting, ZHANG Nan, ZHANG Shan, XIANG Jie, CAO Rui, WANG Bin. Application of Pathological Image Texture Analysis in MSI Prediction of Gastric Cancer [J]. Computer Engineering and Applications, 2021, 57(24): 205-211.
[11]	CHEN Hai, QIAN Fulan, CHEN Jie, ZHAO Shu, ZHANG Yanping. Rating Prediction Model Based on Variational Auto-Encoder [J]. Computer Engineering and Applications, 2021, 57(22): 153-159.
[12]	YI Lingzhi, WANG Shitong, YI Fang, DENG Dong, YI Zhimin, JIANG Peng. Wind Farm Ultra-Short-Term Wind Speed Prediction Based on EEMDSE-ILSTM [J]. Computer Engineering and Applications, 2021, 57(22): 288-294.
[13]	WU Minghui, HOU Lingyan, WANG Chao. Improved Mechanism of Prediction-Oriented Long Short-Term Memory Neural Network [J]. Computer Engineering and Applications, 2021, 57(21): 109-115.
[14]	ZHAO Yu, ZHU Yi, YU Qiao, CHEN Xiaoying. Cross Project Defect Prediction Method Based on Hierarchical Data Screening [J]. Computer Engineering and Applications, 2021, 57(20): 279-286.
[15]	ZHANG Xueting, CHENG Hua, FANG Yiquan. Prediction of Co-authorship Based on Meta-Path and Node Attributes [J]. Computer Engineering and Applications, 2021, 57(2): 164-169.

Applied research of mobile IPv6 in high-speed railway mobile communication system

高速铁路移动通信网移动IPv6应用研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics