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一种车辆网络场景下的机会式路由

Opportunistic Routing Algorithm for Vehicular Network Scenario
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摘要 文中在分析车辆移动的规律性和车辆在路网中非均匀分布特点的基础上,提出了车辆网络场景下的机会式路由VNS-OR。通过路段延时估计,为消息在源位置至目的位置确定最短延时传输路径。按该路径传输时,在节点密集分布路段采用多跳转发,在节点稀疏分布路段采用携带转发的路由策略。实验表明,VNS-OR路由可以满足车辆网络场景下时延容忍数据的传输需要。 On the basis of analyses of the mobility and non-uniform distribution of vehicular in the road,the opportunistic routing algorithm,VNS-OR,for vehicular network scenario is proposed.With the time delay estimation in road section,the shortest delay transmission route form source location to the destination is determined.Packets are sent by multi-hops in dense road sections and by store-carry-forward in sparse road sections along this route.The simulation experiments show that VNS-OR can meets the delay tolerant in vehicular network scenario.
出处 《南京邮电大学学报(自然科学版)》 北大核心 2013年第6期122-128,共7页 Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
关键词 车辆网络场景 延时估计 最短延时路径 携带转发 时延容忍 vehicular network scenarios time delay estimation shortest delay transmission route store-carry-forward delay tolerant
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参考文献15

  • 1HONGYU H,PEIEN L,MINGLU L. Performance Evaluation of SUVnet With Real-Time Traffic Data[J].{H}IEEE Transactions on Vehicular Technology,2007,(06):3381-3396.doi:10.1109/TVT.2007.907273.
  • 2DAVIS J A,FAGG A H,LEVINE B N. Wearable computers as packet transport mechanisms in highly-partitioned ad-hoc networks[A].2001.141-148.
  • 3ANDERSON D P. BOINC:A system for public-resource computing and storage[A].2004.4-10.
  • 4LAMMEL R. Google' s MapReduce programming model-Revisited[J].{H}SCIENCE OF COMPUTER PROGRAMMING,2008,(01):1-30.
  • 5KRUMM J. A Markov Model for Driver Turn Prediction[A].2008.14-17.
  • 6GUANGTAO X,ZHONGWEI L,HONGZI Z. Traffic-Known Urban Vehicular Route Prediction Based on Partial Mobility Patterns[A].2009.369-375.
  • 7GONZALEZ M C,HIDALGO C A,BARABASI A L. Understanding individual human mobility patterns[J].{H}NATURE,2008,(7196):779-782.
  • 8彭曲,丁治明,郭黎敏.基于马尔可夫链的轨迹预测[J].计算机科学,2010,37(8):189-193. 被引量:37
  • 9KARIMI H A,LIU X. A predictive location model for locationbased services[A].New Orleans,Louisiana,USA,2003.126-133.
  • 10NISHIWAKI Y,MIYAJIMA C,KITAOKA H. Stochastic modeling of vehicle trajectory during lane-changing[A].2009.1377-1380.

二级参考文献14

  • 1Wolfson O,Xu Bo,Chamberlain S,et al.Moving object databases Issues and solutions[C] ∥The 10th Int'l Conf.on Science and Statistical Database Management.Capri,Italy,1998.
  • 2Wolfson O,Chamberlain S,Dao S,et al.Location management in moving objects databases[C] ∥The Second Int'l Workshop on Satel2 lite2Based Information Services (WOSBIS'97).Budapest,Hun2 gary,1997.
  • 3Chon H,Agrawal D,Abbadi A E.Storage and Retrieval of Moving Objects[C] ∥Proc.of the Intl.Conf.on Mobile Data Mana-gement.2001.
  • 4Saltenis S,Jensen C S,Leutenegger S T,et al.Indexing the Positions of Continuously Moving Objects[C] ∥Proc.of the 2000 ACM SIGMOD Intl.Conf.on Management of Data.2000:331-342.
  • 5Jeung H,Liu Q,Shen H T,et al.A hybrid prediction model for moving objects[C] ∥Proc.of the 24th Int'l Conf.on Data Engineering.USA:IEEE,2008:70-79.
  • 6Mamoulis N,Cao H,Kollios G,et al.Mining,Indexing,and Querying Historical Spatiotemporal Data[C] ∥Proc.of the 10th ACM SIGKDD Int'l Conf.on Knowledge Discovery and Data Mining.New York:ACM,2004:236-245.
  • 7Tao Y,Faloutsos C,Papadias D,et al.Prediction and indexing of moving objects with unknown motion patterns[C] ∥Proc.of the 2004 ACM SIGMOD Int'l Conf.on Management of Data.New York:ACM,2004:611-622.
  • 8Aggareal C C,Agrawal D.On nearest neighbor indexing of nonlinear trajectories[C] ∥Proc.of the 22th ACM SIGMOD-SIGACT-SIGART Symp.on Principles of Database Systems.New York:ACM,2003:252-259.
  • 9Kim S-W,Won J-I,Kim J-D,et al.Path prediction of moving objects on road networks through analyzing past trajectories[C] ∥Proc.of the 11th Int'l Conf.on Knowledge-Based Intelligent Information and Engineering Systems.Berlin:Springer-Verlag,2007:379-389.
  • 10Ding Zhiming,Guting R H.Managing moving objects on dynamic transportation networks[C] ∥Proc.of the 16th Int'l Conf.on Scientific and Statistical Database Management.Washington:IEEE Computer Society,2004:287-296.

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