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Mobile Content Distribution with Vehicular Cloud in Urban VANETs 被引量:3

Mobile Content Distribution with Vehicular Cloud in Urban VANETs
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摘要 Plenty of multimedia contents such as traffic images, surveillance video, music and movie will flood into vehicular ad hoc networks. However, content distribution over VANETs is not a easy task, due to the high mobility of vehicles and intermittent connectivity. Infrastructure-based scheme can relieve the problem, but with a large amount of investment. In this paper, we propose a mobile content distribution scheme based on roadside parking cloud(RPC), which is formed by the parked car on the roadside, and mobile cloud(MC), which is formed by moving cars on the road. According to a trip history model, a mobile car can estimate its following trajectory. When it wants to download the content, gateway node of the RPC will work out a downloading schedule, which tells it how much chunks it can download from which RPCs. Moreover, the helper of the mobile car in mobile cloud would deliver specified chunks to it when there is lack of RPC in the following trip. Simulation results show that cloud-based scheme performs better than inter-vehicle communication approach and cluster-based scheme. Plenty of multimedia contents such as traffic images, surveillance video, music and movie will flood into vehicular ad hoc networks. However, content distribution over VANETs is not a easy task, due to the high mobility of vehicles and intermittent connectivity. Infrastructure-based scheme can relieve the problem, but with a large amount of investment. In this paper, we propose a mobile content distribution scheme based on roadside parking cloud (RPC), which is formed by the parked car on the roadside, and mobile cloud (MC), which is formed by moving cars on the road. According to a trip history model, a mobile car can estimate its following trajectory. When it wants to download the content, gateway node of the RPC will work out a downloading schedule, which tells it how much chunks it can download from which RPCs. Moreover, the help- er of the mobile car in mobile cloud would deliver specified chunks to it when there is lack of RPC in the following trip. Simulation results show that cloud-based scheme performs better than inter-ve- hicle communication approach and cluster-based scheme.
出处 《China Communications》 SCIE CSCD 2016年第8期84-96,共13页 中国通信(英文版)
基金 supported in part by National Science Foundation of China under Grants numbers 61272526,61262081,61370204and 61572113 Zhejiang Provincial Natural Science Foundation under Grant number LQ16F02001
关键词 roadside parking cloud mobile cloud trip history model trajectory prediction content distribution roadside parking cloud mobile cloud trip history model trajectory prediction content distribution
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  • 1R. Fracchia, M. Meo and D. Rossi, "Knowing vehicles location HELPS avoiding broadcast packets storm", Proceedings of the 4th Annual IEEE International Conference on Pervasive Computing and Commu- nications Workshops (PerCom Workshops" 06), pp. 118-123, March, 2006.
  • 2M. Nekovee, "Epidemic algorithms for reliable and efficient information dissemination in vehicular", Intelligent Transport Systems, vol. 3, no. 2, pp. 104- 110, 2009.
  • 3I. Leontiadis, R Costa, and C. Mascolo, "A hybrid ap-proach for content based publish/subscribe in ve- hicular networks", Pervasive and Mobile Computing, vol. 5, no. 6, pp. 697-713, 2009.
  • 4J. Eriksson, H. Balakrishnan, and S. Madden, "Cab- ernet: vehicular content delivery using WiFi", Proceedings of MOBICOM 2008, pp. 199-210, 2008.
  • 5Y. Zhang, J. Zhao, and G. Cao, "Service scheduling of vehicle-roadside data access", Mobile Networks end Applications, vol. 15, no. 1, pp. 83-96, 2010.
  • 6B. Chen. and M. Chan, "Mobtorrent: A frame- work for mobile internet access from vehicles", Proceedings of INFOCOM 2009, pp. 1404-1412, 2009.
  • 7P. Deshpande, A. Kashyap, C. Sung, et al., "Predic- tive methods for improved vehicular WiFi access", Proceedings of the 7th international conference on Mobile systems, applications, end services, pp. 263- 276, 2009.
  • 8M. Li, Z. Yang, and W. Lou, "Codeon: Cooperative popular content distribution for vehicular networks using symbol level network coding", IEEEJournal on SelectedArees in Communicetions, vol. 29, no. 1, pp. 223-235, 2011.
  • 9Jupiterresearch, "Municipal Wireless: Partner to Spread Risks and Costs While Maximizing Benefit Opportunities", Jupitermedia Corporotion, Tech. Re- port, 2005.
  • 10N. Liu, M. Liu, W. Lou, et al., "PVA in vanets: Stopped cars are not silent", Proceedings of INFOCOM, pp. 431-435, April 2011.

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