Please wait a minute...
浙江大学学报(工学版)
浙江大学学报(工学版)
土木工程、交通工程     
基于信道负载阈值的车联网信标消息生成策略
莫元富1, 于德新1,3, 宋军2, 郭亚娟1
1.吉林大学 交通学院,吉林 长春 130022；2.大连国际机场集团公司,辽宁 大连 116033；3.吉林大学 吉林省道路交通重点实验室,吉林 长春 130022
Beacon message generating strategy based on channel load preset threshold in VANET environment
MO Yuan fu1, YU De xin1,3, SONG Jun2, GUO Ya juan1
1.College of Transportation, Jilin University, Changchun 130022, China;2.Dalian International Airport, Dalian 116033, China；3. Jilin Province Key Laboratory of Road Traffic, Jilin University, Changchun 130022, China
 全文: PDF(636 KB)   HTML
摘要：

为了解决车联网中的信道饱和、拥塞以及由此带来的消息冲突问题,研究和设计车联网信标消息生成策略.根据卡尔曼滤波预测时间域关系,提出卡尔曼滤波差分预测方程,建立卡尔曼滤波预测信标消息生成模型.根据信道负载实测值与预设阈值,建立时间间隔自适应调节的信标消息生成模型和策略.通过仿真八车道高速公路基本路段和利用浮动车在长春市某路段行车实验,进行数据采集.对基于信道负载阈值的车联网信标消息生成模型和策略进行验证,开展相关分析.结果表明,提出的该分布式策略在满足车联网应用所需的位置信息准确度的要求下,能够有效地降低信道负载,避免信道拥塞,保证了各节点的消息生成和传输的公平性.
Abstract:

The vehicle beacon message generation strategy was analyzed in order to solve the channel saturation, congestion, and the message conflict problems in vehicular ad hoc network. The Kalman filter difference prediction equation was proposed according to the relationship of the Kalman filter prediction in time domain. Then the beacon generation model was established. The beacon message generating model and strategy based on time interval adaptive adjusting were established according to the measured channel load and the preset threshold. Traffic data from the simulation of eight lane freeway basic section and the floating car driving test on Changchun urban road was collected to verify the second model and strategy. The corresponding data was analyzed. Results demonstrate that the proposed distributed strategy can effectively reduce the channel load, avoid the channel congestion and ensure the fairness of message generation and transmission for each node in the required position accuracy．
出版日期: 2016-03-31
:  U 491  
基金资助:

国家“863”高技术研究发展计划资助项目（2014BAG03B03）.
通讯作者: 于德新，男，教授.ORCID: 0000 0003 4597 4629.     E-mail: yudx@jlu.edu.cn
作者简介: 莫元富（1984-），男，博士生,从事车联网信息处理和车间通信的研究.ORCID: 0000 0003 1732 0871.E-mail: 496629815@qq.com
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　

引用本文:

莫元富, 于德新, 宋军, 郭亚娟. 基于信道负载阈值的车联网信标消息生成策略[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2016.01.004.

MO Yuan fu, YU De xin, SONG Jun, GUO Ya juan. Beacon message generating strategy based on channel load preset threshold in VANET environment. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2016.01.004.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2016.01.004    或    http://www.zjujournals.com/eng/CN/Y2016/V50/I1/21

［1］ HANNES H, KENNETH P L. Vehicular applications and inter networking technologies ［M］. Atrium: Wiley, 2010．
［2］ YAIR A, MICHAEL S. Cluster based beaconing process for VANET ［J］. Vehicular Communications, 2015, 2(2): 80-94.
［3］ CHAABOUNI N, HAFID A, SAHU P K. A collision based beacon rate adaptation scheme (CBA) for VANETs ［C］∥ IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). Kattankulathur: IEEE, 2013．
［4］ ELBATT T, GOELOEL S K, HOLLAND G. Cooperative collision warning using dedicated short range wireless communications ［C］∥Proceedings of 3rd International Workshop on Vehicular Ad Hoc Networks. New York: ［s. n.］, 2006: 19．
［5］ SHAIMA M S, OULD KHAOUA M, OSAMA M H. Experimental evaluation of safety beacons dissemination in VANETs ［J］. Procedia Computer Science, 2015, 56(2015): 618-623．
［6］ KHORAKHUN C, BUSCHE H, ROHLING H. Congestion control for VANETs based on power or rate adaptation ［C］∥ Proceedings of the 5th International Workshop on Intelligent Transportation. Hamburg: ［s. n.］, 2008: 21-23.
［7］ ZEMOURI S, DJAHEL S, MURPHY J. Smart adaptation of beacons transmission rate and power for enhanced vehicular awareness in VANETs ［C］∥ IEEE 17th International Conference on Intelligent Transportation Systems (ITSC). Qingdao: IEEE, 2014．
［8］ HAYDER S D, WANG Yu ming. An efficient emergency message broadcasting scheme in vehicular ad hoc networks ［J］. International Journal of Distributed Sensor Networks, 2013, 2013(9):1-11．
［9］ TESSA T, DANIEL J, HANNES H. Joint power/rate congestion control optimizing packet reception in vehicle safety communications ［C］∥ Proceeding of the 10th ACM International Workshop on Vehicular Inter Networking, Systems, and Applications. New York: ACM, 2013: 51-60．
［10］ TSAI M F, WANG P C. Improving positioning accuracy for VANET in real city environments ［J］. The Journal of Supercomputing, 2015, 71(6): 1975-1995．
［11］彭丁聪.卡尔曼滤波的基本原理及应用［J］. 软件导刊, 2010, 8(7): 32-34．
PENG Ding cong. The basic principle and application of Kalman filter ［J］. Journal of Software Guide, 2010, 8(7): 32-34．
［12］ JWO D J, YANG C F, CHUANG C H, et al. Performance enhancement for ultra tight GPS/INS integration using a fuzzy adaptive strong tracking unscented Kalman filter ［J］. Nonlinear Dynamics, 2013, 73(1/2): 377-395．
［13］ JAVADI M S, HABIB S, HANNAN M A. Survey on inter vehicle communication applications: current trends and challenges ［J］. Information Technology Journal, 2013, 12(2): 243-250．
［14］ JIANG D, CHEN Q, DELGROSSI L. Optimal data rate selection for vehicle safety communications ［C］∥ Proceeding of the 5th ACM International Workshop on Vehicular Inter Network. San Francisco: ACM, 2008: 30-38．
[1] 倪玲霖, 张帅超, 陈喜群. 基于手机信号令数据的居民出行空间效应[J]. 浙江大学学报(工学版), 2017, 51(5): 887-895.
[2] 曲昭伟, 曹宁博, 陈永恒, 白乔文, 康萌, 陈明涛. 信号交叉口的行人信号提前建模[J]. 浙江大学学报(工学版), 2017, 51(3): 538-544.
[3] 王福建, 龚成宇, 马东方, 郭伟伟, 王殿海. 采用交通出行量数据的多点联动瓶颈控制方法[J]. 浙江大学学报(工学版), 2017, 51(2): 273-278.
[4] 王韩麒, 陈红, 冯微, 刘玮蔚. 基于CPT的异质通勤者多维出行决策模型[J]. 浙江大学学报(工学版), 2017, 51(2): 297-303.
[5] 于谦, 李铁柱, 任彦铭. 乘客载重量对柴油公交车尾气排放影响分析[J]. 浙江大学学报(工学版), 2016, 50(10): 2009-2017.
[6] 付凤杰,龚越,王殿海,马东方. 基于高清智能卡口路段行程时间的数据质量分析[J]. 浙江大学学报(工学版), 2016, 50(9): 1761-1767.
[7] 王力,张立立,潘科,李正熙. 基于状态可控性分析的交叉口信号切换控制[J]. 浙江大学学报(工学版), 2016, 50(7): 1266-1275.
[8] 李明达,隗海林,门玉琢,包翠竹. 基于实际换挡规律的卡车列队行驶起步控制[J]. 浙江大学学报(工学版), 2016, 50(5): 887-892.
[9] 楼齐峰, 马晓龙, 叶盈, 梅振宇. 基于出行成本的停车收费和供给政策影响分析[J]. 浙江大学学报(工学版), 2016, 50(2): 257-264.
[10] 王卫东,李俊杰,王京,傅庆湘,康文泓. 基于未确知测度的公路交通效率评价[J]. 浙江大学学报(工学版), 2016, 50(1): 48-54.
[11] 李清,胡志华. 基于多目标遗传算法的灾后可靠路径选择[J]. 浙江大学学报(工学版), 2016, 50(1): 33-40.
[12] 马明辉,杨庆芳,梁士栋,邢茹茹. 高速公路主线瓶颈区域的协调控制模型[J]. 浙江大学学报(工学版), 2015, 49(9): 1700-1706.
[13] 周旦, 马晓龙, 金盛, 王殿海. 混合非机动车交通流超车次率影响因素模型[J]. 浙江大学学报(工学版), 2015, 49(9): 1672-1678.
[14] 王福建, 戴美伟, 孙凌涛, 金盛. 基于多类跟驰行为的车头时距混合分布模型[J]. 浙江大学学报(工学版), 2015, 49(7): 1288-1294.
[15] 赵伟明, 王殿海, 朱文韬, 戴美伟. 基于改进NJW算法的交通控制时段划分[J]. 浙江大学学报(工学版), 2014, 48(12): 2259-2265.