[1]彭雅丽,吕 铃,谢忠福,等.智能城市车载网络分层分区协作通信模型研究[J].江西师范大学学报(自然科学版),2016,40(06):627-634.
 PENG Yali,Lü Ling,XIE Zhongfu,et al.Research on Layered-Partition Communication Model on Intelligent Urban VANET[J].Journal of Jiangxi Normal University:Natural Science Edition,2016,40(06):627-634.
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智能城市车载网络分层分区协作通信模型研究()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期数:
2016年06期
页码:
627-634
栏目:
出版日期:
2016-12-01

文章信息/Info

Title:
Research on Layered-Partition Communication Model on Intelligent Urban VANET
作者:
彭雅丽吕 铃谢忠福章志明徐 虹
江西师范大学软件学院,江西 南昌 330022
Author(s):
PENG YaliLü LingXIE ZhongfuZHANG ZhimingXU Hong
Department of Software,Jiangxi Normal University,Nanchang Jiangxi 330022,China
关键词:
分层分区通信模型 自适应区域优化策略 红灯等停
Keywords:
layered-partition communication model self-adjustment regional optimized red light stop
分类号:
TP 393
摘要:
城市车载网络能为解决城市交通问题提供有效的方法.大多数已存在的传输模型由于不能解决车辆的高速移动、复杂城市交通环境和多变的交通密度问题,导致传输效率低、可靠性能差.该文紧紧围绕城市环境信号传输衰减、红灯等停、固定和周期的公交运行模式,提出分层分区的通信模型.该模型充分利用公交的固定路线运行和普通车辆与公交之间的簇首节点转发策略进行优化,将车辆之间复杂的不确定的传输协议转换成协作的、稳定的3层模型.设计了有限时延内的单跳转发机制,以保证公交协助转发的可靠性和有效性; 设计了簇首触发转发机制以适应不同的车辆密度.仿真实验表明,整体模型具有较高的传输效率和较低的时延,且对于具有高移动性和复杂道路环境的城市车载网络具有较好的适应性.
Abstract:
Urban VANETs as an important part of intelligent transportation in the future,provides an effective solution to solve the city traffic problem.Most of the existing transmission schemes have low performance on efficiency and reliability,because they can’t solve the problems of high speed mobile vehicle,complex urban traffic environment and different traffic density.The text follows the urban environment of signal propagation,stopped on red,fixed and cycled bus movement,proposing layered-partition communication model.The model transfers the complex and uncertain transmission protocol between the vehicles to collaborative and certain three layered,which taking advantages of the fixed trace of bus and using the cluster head strategy to optimize communication between ordinary vehicles and buses.single hop selection mechanism according to the signal propagation attenuation model and vehicle mobility model is designed,and mechanism of multi hop forwarding in delay probability,which can ensure the reliable and efficiency on bus-assistant forwarding.On the other hand,cluster head trigger strategy which can adapt to the vehicle density is designed.The simulation results show that,the whole scheme can achieve good data delivery and low delay,which has good adaptability on high dynamic and special road situation of urban VANET.

参考文献/References:

[1] Word Bank.GNI per capita Atlas method [EB/OL].
[2012-12-11].http://data.wordbank.org/indicator/NY.GNP.PCAP.CD.
[2] Fall K.A delay tolerant networking architecture for challenged internets[C].Karlsrube:Proeeedings of ACM SIGCOMM,2003.
[3] Wu Lei,Wu Dean,Liu Ming,et al.Periodic intermittently connected-based data delivery in opportunistic networks[J].Journal of Software,2013,24(3):507-525.
[4] Wei Hui,Tang Xuesong,Liu Hang.A genetic algorithm(GA)-based method for the combinatorial optimization in contour formation [J].Applied Intelligence,2015,43(1):112-131.
[5] Saha B K,Misra S,Pal S.Utility-based exploration for performance enhancement in opportunistic mobile networks [J].IEEE Transactions on Computers,2015,65(4):1-1.
[6] Altan A,Fortz B,Thorup M,et al.Intra-domain traffic engineering with shortest path routing protocols [J].Annals of Operations Research,2013,204(1):65-95.
[7] Chen Li,Li Zhijun,Jiang Shouxu,et al.MGF:mobile gateway based forwarding for infrastructure-to vehicle data delivery in vehicular Ad hoc vetworks[J].Chinese Journal of Computers,2012,35(3):454-463.
[8] Kuang Luobei,Wang Zhijun,Xu Ming,et al.End-to-end transmission time-based opportunistic routing protocols for bus networks [J].Turkish Journal of Electrical Engineering & Computer Sciences,2013,21(2):470-492.
[9] Song Chao,Liu Ming,Gong Haigang,et al.Distributed real-time information based routing protocol in vehicular ad-hoc networks[J].Journal of Software,2011,22(3):466-480.
[10] He Jian,Ji Yinglong.Research on streaming media QoS technology of bus surveillance under mobile internet environment [J].Road Traffic & Safety,2016.
[11] Zhao Jing,Cao Guohong.VADD:Vehicle-assisted data delivery in vehicular ad hoc networks.[C].New York:IEEE Communications Society,2006:1-12.
[12] Cheng Peichun,Lee K C,Gerla M,et al.GeoDTN+ Nav:geographic DTN routing with navigator prediction for urban vehicular environments [J].Mobile Networks and Applications,2010,15(1):61-82.
[13] Kazerooni A,Ashtiani F.Effect of traffic-load dependent vehicle routing algorithm on the connectivity in VANETs [C].New York:IEEE,2011:1-5.
[14] Jerbi M,Seouci S M,Meraihi R,et al. An improved vehicular Ad hoc routing protocol for city environments [C].Glasgow:ICC,2007:3972-3979.
[15] Yassin Mohamed F,Ohba Masaake.Effect of street geometrical layout on dispersion emissions of traffic exhaust:experimental simulation [J].Clean Technologies and Environmental Policy,2013,31(2):1126-1132.

备注/Memo

备注/Memo:
收稿日期:2016-09-17基金项目:国家自然科学基金(71661015,61363077)和江西省软件科学(2016IBBA10015)资助项目.作者简介:彭雅丽(1983-),女,江西吉安人,副教授,主要从事无线传感器网络和智能交通的研究.
更新日期/Last Update: 1900-01-01