期刊文献+

基于分布式社区学习的VANET数据转发机制 被引量:1

VANET Data Forwarding Mechanism Based on Distributed Community Learning
下载PDF
导出
摘要 针对车载自组织网络中移动车辆间的多跳数据传输,结合城市车辆移动特征,通过改进现有的BubbleRap路由机制,提出一种基于分布式学习的数据转发机制(DFDL)。该机制基于存储-携带-转发的消息传输模式,利用移动车辆间相遇时间间隔和相遇频率确定车辆的社区标签,并根据车辆运动的移动熵计算节点运动中心度。在转发过程中DFDL机制通过综合判断相遇车辆的社区标签以及运动中心度,为数据包消息选择合适的中继转发节点,实现远距离移动车辆间的多跳消息转发。实验结果表明,对于城市车辆移动场景,与BubbleRap路由机制相比,DFDL机制的消息投递率及平均投递延时性能明显提升。 Aiming at the problem of multi-hop data transmission among mobile vehicles in Vehicular Ad Hoc Network( VANET),combining the moving features of vehicle in cities,this paper proposes a Data Forwarding mechanism based on Distributed Learning( DFDL) by improving the existing BubbleRap routing mechanisms. Based on the "store-carry-and forward"message transmission mode,DFDL determines the vehicles' community tags by using the time interval and frequency of enwunter,and calculates the centrality of nodes by the mobile entropy of vehicle movement. During data forwarding,DFDL selects appropriate relay nodes for data packet messages by comprehensively judging the community tags and centrality of nodes. This mechanism achieves multi-hop message forwarding among moving vehicles in long distance. Experimental results showthat,for moving vehicles in cities,DFDL significantly improves the message delivery ratio and the average delivery delay performance than the BubbleRap routing mechanism.
出处 《计算机工程》 CAS CSCD 北大核心 2016年第3期1-6,共6页 Computer Engineering
基金 国家博士后科学基金资助面上项目(2014M560867) 北京市博士后工作经费基金资助项目
关键词 车载自组织网络 社区检测 移动延迟容忍网络 运动模型 机会传输 Vehicular Ad Hoc Network(VANET) community detection mobile Delay Tolerant Network(DTN) mobile model opportunistic transmission
  • 相关文献

参考文献21

  • 1Vahdat A, Becker D. Epidemic Routing for Partially Connected Ad Hoc Networks, CS-200006 [ R ]. Durham, USA : Duke University ,2000.
  • 2Spyropoulos T, Psounis K, Raghavendra C S. Spray and Wait: An Efficient Routing Scheme for Intermittently Connected Mobile Networks[ C 1//Proceedings of ACM SIGCOMM Workshop on Delay-tolerant Networking. New York, USA : ACM Press ,2005:252-259.
  • 3L.i F,Jiang H, Wang Y, et al. SEBAR: SocialEnergy Based Routing Scheme for Mobile Social Delay Tolerant Networks [ C~//Proceedings of the 32nd International Performance Computing and Communications Conference. Washington D. C., USA: IEEE Press ,2013 : 1-8.
  • 4Fall K. A Delay-tolerant Network Architecture for Challenged Internets I C 1//Proceedings of Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications. New York, USA:ACM Press, 2003 : 27-34.
  • 5熊永平,孙利民,牛建伟,刘燕.机会网络[J].软件学报,2009,20(1):124-137. 被引量:324
  • 6Hu S ,Liu H, Su L. TowardsAutomatic Phone-to-phone Com- munication for Vehicular Networking ApplicationsIC]// Proceedings of IEEE INFOCOM'14. Washington D. C., USA :IEEE Press ,2014:1752-1760.
  • 7Burns B, Brock O, Levine B N. MORA Routing and Capacity Building in Disruption-tolerant Networks [ J 1. Ad Hoc Networks ,2008,6(4 ) :600-620.
  • 8Burgess J,Gallagher B, Jensen D, et al. MaxProp : Routing for Vehicle-based Disruption-tolerant Networks I C ]// Proceedings of IEEE INFOCOM' 06. Washington D. C., USA: IEEE Press,2006 : 1 -11.
  • 9Lochert C ,Mauve M ,FtiBler H ,et al. Geographic Routingin City Scenarios [ J ]. ACM SIGMOBILE Mobile Computing and Communications Review, 2005,9 ( 1 ) : 69 -72.
  • 10Leontiadis I, Mascolo C. Geopps : Geographical Oppor- tunistic Routing for Vehicular Networks [ C J//Proceedings of IEEE International Symposium on World of Wireless, Mobile and Multimedia Networks. Washington D. C.,USA: IEEE Press ,2007:1-6.

二级参考文献82

  • 1Hull B, Bychkovsky V, Zhang Y, Chen K, Goraczko M, Miu A, Shih E, Balakrishnan H, Madden S. CarTel: A distributed mobile sensor computing system. In: Proc. of the 4th Int'l Conf. on Embedded Networked Sensor Systems. Boulder: ACM, 2006. 125-138.
  • 2Pan H, Chaintreau A, Scott J, Gass R, Crowcroft J, Diot C. Pocket switched networks and human mobility in conference environments. In: Proc. of the 2005 ACM SIGCOMM Workshop on Delay-Tolerant Networking. Philadelphia: ACM. 2005. 244-251.
  • 3Juang P, Oki H, Wang Y, Martonosi M, Peh LS, Rubenstein D. Energy-Efficient computing for wildlife tracking: Design tradeoffs and early experiences with ZebraNet. In: Proc. of the 10th Int'l Conf. on Architectural Support for Programming Languages and Operating Systems. New York: ACM, 2002.96-107. DO1=http://doi.acm.org/10.1145/605397.605408
  • 4Pelusi L, Passarella A, Conti M. Opportunistic networking: data forwarding in disconnected mobile ad hoc networks. Communications Magazine, 2006,44(11): 134-141.
  • 5Conti M, Giordano S. Multihop ad hoe networking: The reality. Communications Magazine, 2007,45(4):88-95.
  • 6Fall K. A delay-tolerant network architecture for challenged Internets. In: Proc. of the 2003 Conf. on Applications, Technologies, Architectures, and Protocols for Computer Communications. Karlsruhe: ACM, 2003.27-34.
  • 7Akyildiz IF, Akan B, Chert C, Fang J, Su W. InterPlaNetary Intemet: State-of-the-Art and research challenges. Computer Networks, 2003,43(2):75-112.
  • 8Gupta P, Kumar P. The capacity of wireless networks. IEEE Trans. on Information Theory, 2000,46(2):388-404.
  • 9Grossglauser M, Tse DNC. Mobility increases the capacity of ad hoc wireless networks. IEEE/ACM Trans. on Networking, 2002, 10(4):477-486.
  • 10Small T, Haas ZJ. The shared wireless infostation model: A new ad hoc networking paradigm (or where there is a whale, there is a way). In: Proc. of the 4th ACM Int'l Symp. on Mobile Ad Hoc Networking. Annapolis: ACM, 2003. 233-244.

共引文献323

同被引文献9

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部