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Trajectory-Based Data Forwarding Schemes for Vehicular Networks

Trajectory-Based Data Forwarding Schemes for Vehicular Networks
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摘要 This paper explains trajectory-based data forwarding schemes for multihop data delivery in vehicular networks where the trajectory isthe GPS navigation path for driving in a road network. Nowadays, GPS-based navigation is popular with drivers either for efficient driv-ing in unfamiliar road networks or for a better route, even in familiar road networks with heavy traffic. In this paper, we describe howto take advantage of vehicle trajectories in order to design data-forwarding schemes for information exchange in vehicular networks.The design of data-forwarding schemes takes into account not only the macro-scoped mobility of vehicular traffic statistics in road net-works, but also the micro-scoped mobility of individual vehicle trajectories. This paper addresses the importance of vehicle trajectoryin the design of multihop vehicle-to-infrastructure, infrastructure-to-vehicle, and vehicle-to-vehicle data forwarding schemes. First, weexplain the modeling of packet delivery delay and vehicle travel delay in both a road segment and an end-to-end path in a road net-work. Second, we describe a state-of-the-art data forwarding scheme using vehicular traffic statistics for the estimation of the end-to-end delivery delay as a forwarding metric. Last, we describe two data forwarding schemes based on both vehicle trajectory and vehicu-lar traffic statistics in a privacy-preserving manner. This paper explains trajectory-based data forwarding schemes for multihop data delivery in vehicular networks where the trajectory is the GPS navigation path for driving in a road network. Nowadays, GPS-based navigation is popular with drivers either for efficient driv- ing in unfamiliar road networks or for a better route, even in familiar road networks with heavy traffic. In this paper, we describe how to take advantage of vehicle trajectories in order to design data-forwarding schemes for information exchange in vehicular networks. The design of data-forwarding schemes takes into account not only the macro-scoped mobility of vehicular traffic statistics in road net- works, but also the micro-scoped mobility of individual vehicle trajectories. This paper addresses the importance of vehicle trajectory in the design of multihop vehicle-to-infrastructure, infrastructure-to-vehicle, and vehicle-to-vehicle data forwarding schemes. First, we explain the modeling of packet delivery delay and vehicle travel delay in both a road segment and an end-to-end path in a road net- work. Second, we describe a state-of-the-art data forwarding scheme using vehicular traffic statistics for the estimation of the end-to- end delivery delay as a forwarding metric. Last, we describe two data forwarding schemes based on both vehicle trajectory and vehicu- lar traffic statistics in a privacy-preserving manner.
出处 《ZTE Communications》 2014年第1期17-25,共9页 中兴通讯技术(英文版)
基金 supported by Faculty Research Fund,Sungkyunkwan University,2013 and by DGIST CPS Global Center partly supported by Next-Generation Information Computing Development Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science,ICT & Future Planning(No.2012033347) the ITR & D program of MKE/KEIT(10041244,SmartTV 2.0 Software Platform)
关键词 数据转发 基础设施 车载网络 GPS导航 工程车辆 道路网络 流量统计 运动轨迹 VANET DSRC vehicular networks data forwarding vehicle trajectory
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参考文献29

  • 1J. Jeong, S. Guo, Y. Gu, T. He, and D. Du, "Trajectory-based data forwarding for light-traffic vehicular ad hoc networks," 1EEE Transactions on Parallel and Dis- tributed Systems, vol. 22, no. 5, pp. 743-757, May 2011. doi: 10.1109/TP- DS.2010.103.
  • 2J. Jeong, S. Guo, Y. Gu, T. He, and D. Du, "Trajectory-based statistical forward- ing for muhihop infrastructure-to-vehicle data delivery," IEEE Transactions on Mobile Computing, vol. 11, no. 10, pp 1523-1537, Oct. 2012. doi: 10.1109/ TMC.2011.189.
  • 3J. Jeong, T. He, and D. Du, "TMA: trajectory-based multi-anycast forwarding for efficient multicast data delivery in vehicular networks", Elsevier Computer Net- works, vol. 57, no. 13, pp. 2549-2563, Sept. 2013. doi: 10.1016/j.com- net.2013.05.002.
  • 4J. Zhao and G. Cao, "VADD: vehicle-assisted data delivery in vehicular ad hoc networks," IEEE Transactions on Vehicular Technology, vol. 57, no. 3, pp. 1910- 1922, May 2008. doi: 10.1109/TVT.2007.901869.
  • 5A. Skordylis and N. Trigoni, "Delay-bounded routing in vehicular ad hoc net- works," in ACM MOBIHOC, Hong Kong, China, May 2008, pp. 341-350. doi: 10.1145/1374618.1374664.
  • 6Y. Ding, C. Wang, and L. Xiao, "A static-node assisted adaptive routing protocol in vehicular networks,~ in Proc. ACM lnt" 1 Workshop Vehicular Ad Hoc Net- works, Montreal, Canada, Sept. 2007, pp. 59- 68. doi: 10.1145/ 1287748.1287758.
  • 7G. Dimitrakopoulos, "Intelligent transportation systems," 1EEE Vehicular Tech- nology Magazine, vol. 5, no. 1, pp. 77-84, Mar. 2010.
  • 8OECD report in 2008. (2010, Aug. 26). South Korea's Road Fatality Rate Among Worst [Online]. Available: http://english.yonhapnews.co.kr/national/2010/08/26/ 89/0302000 000AEN20100826005300315F.HTML.
  • 9M. Ferreira, R. Fernandes, H. Conceicao, W. Viriyasitavat, and O. K. Tonguz, "Self-organized traffic control," ACM VANET, Chicago, IL, USA, Sept. 2010. pp. 85-90. doi: 10.1145/1860058.1860077.
  • 10M. Aoyama, "Computing for the next-generation automobile," IEEE Computer, vol. 45, no. 6, pp. 32-37, Jun. 2012. doi: 10.1109/MC.2012.153.

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