Civil Engineering, Transportation Engineering |
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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 |
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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.
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Published: 31 March 2016
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基于信道负载阈值的车联网信标消息生成策略
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.
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[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. |
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