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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Languages: English
Types: Article

Classified by OpenAIRE into

In vehicular ad hoc networks (VANETs), efficient message dissemination is critical to road safety and traffic efficiency. Since many VANET-based schemes suffer from high transmission delay and data redundancy, the integrated VANET–cellular heterogeneous network has been proposed recently and attracted significant attention. However, most existing studies focus on selecting suitable gateways to deliver safety message from the source vehicle to a remote server, whereas rapid safety message dissemination from the remote server to a targeted area has not been well studied. In this paper, we propose a framework for rapid message dissemination that combines the advantages of diverse communication and cloud computing technologies. Specifically, we propose a novel Cloud-assisted Message Downlink dissemination Scheme (CMDS), with which the safety messages in the cloud server are first delivered to the suitable mobile gateways on relevant roads with the help of cloud computing (where gateways are buses with both cellular and VANET interfaces), and then being disseminated among neighboring vehicles via vehicle-to-vehicle (V2V) communication. To evaluate the proposed scheme, we mathematically analyze its performance and conduct extensive simulation experiments. Numerical results confirm the efficiency of CMDS in various urban scenarios.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] J. Luo, X. Gu, T. Zhao, and W. Yan, “Mi-vanet: a new mobile infrastructure based vanet architecture for urban environment,” in Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd. IEEE, 2010, pp. 1-5.
    • [2] A. Benslimane, T. Taleb, and R. Sivaraj, “Dynamic clustering-based adaptive mobile gateway management in integrated vanet-3g heterogeneous wireless networks,” Selected Areas in Communications, IEEE Journal on, vol. 29, no. 3, pp. 559-570, 2011.
    • [3] G. Zhioua, N. TABBANE, H. LABIOD, and S. TABBANE, “A fuzzy multi-metric qos-balancing gateway selection algorithmin a clustered vanet to lte advanced hybrid cellular network,” Vehicular Technology, IEEE Transactions on, vol. 64, no. 2, pp. 804-817, 2014.
    • [4] F. J. Martinez, C.-K. Toh, J.-C. Cano, C. T. Calafate, and P. Manzoni, “Emergency services in future intelligent transportation systems based on vehicular communication networks,” Intelligent Transportation Systems Magazine, IEEE, vol. 2, no. 2, pp. 6-20, 2010.
    • [5] Q. Zhao, Y. Zhu, C. Chen, H. Zhu, and B. Li, “When 3g meets vanet: 3g-assisted data delivery in vanets,” Sensors Journal, IEEE, vol. 13, no. 10, pp. 3575-3584, 2013.
    • [6] P. Salvo, F. Cuomo, A. Baiocchi, and A. Bragagnini, “Road side unit coverage extension for data dissemination in vanets,” in Wireless On-demand Network Systems and Services (WONS), 2012 9th Annual Conference on. IEEE, 2012, pp. 47-50.
    • [7] R. Crepaldi, R. Beavers, B. Ehrat, M. Jaeger, S. Biersteker, and R. Kravets, “Loadingzones: leveraging street parking to enable vehicular internet access,” in Proceedings of the seventh ACM international workshop on Challenged networks. ACM, 2012, pp. 23-30.
    • [8] M. Gerla, “Vehicular cloud computing,” in Ad Hoc Networking Workshop (Med-Hoc-Net), 2012 The 11th Annual Mediterranean. IEEE, 2012, pp. 152-155.
    • [9] D. Jia, R. Zhang, K. Lu, J. Wang, Z. Bi, and J. Lei, “Improving the uplink performance of drive-thru internet via platoon-based cooperative retransmission,” Vehicular Technology, IEEE Transactions on, vol. 63, no. 9, pp. 4536-4545, 2014.
    • [10] D. Jia, K. Lu, and J. Wang, “A disturbance-adaptive design for vanetenabled vehicle platoon,” Vehicular Technology, IEEE Transactions on, vol. 63, no. 2, pp. 527-539, 2014.
    • [11] C.-F. Lai, H.-C. Chao, Y.-X. Lai, and J. Wan, “Cloud-assisted real-time transrating for http live streaming,” Wireless Communications, IEEE, vol. 20, no. 3, 2013.
    • [12] L. Gu, D. Zeng, and S. Guo, “Vehicular cloud computing: A survey,” in Globecom Workshops (GC Wkshps), 2013 IEEE. IEEE, 2013, pp. 403-407.
    • [13] J. Wan, D. Zhang, Y. Sun, K. Lin, C. Zou, and H. Cai, “Vcmia: A novel architecture for integrating vehicular cyber-physical systems and mobile cloud computing,” Mobile Networks and Applications, vol. 19, no. 2, pp. 153-160, 2014.
    • [14] J. Wan, D. Zhang, S. Zhao, L. T. Yang, and J. Lloret, “Contextaware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions,” Communications Magazine, IEEE, vol. 52, no. 8, pp. 106-113, 2014.
    • [15] J. Wan, C. Zou, K. Zhou, R. Lu, and D. Li, “Iot sensing framework with inter-cloud computing capability in vehicular networking,” Electronic Commerce Research, vol. 14, no. 3, pp. 389-416, 2014.
    • [16] S. Olariu, T. Hristov, and G. Yan, “The next paradigm shift: from vehicular networks to vehicular clouds,” Mobile Ad hoc networking: the cutting edge directions, Wiley and Sons, New York, pp. 645-700, 2012.
    • [17] R. Hussain, F. Abbas, J. Son, S. Kim, and H. Oh, “Using public buses as mobile gateways in vehicular clouds,” in Consumer Electronics (ICCE), 2014 IEEE International Conference on. IEEE, 2014, pp. 175-176.
    • [18] U. G. Acer, P. Giaccone, D. Hay, G. Neglia, and S. Tarapiah, “Timely data delivery in a realistic bus network,” Vehicular Technology, IEEE Transactions on, vol. 61, no. 3, pp. 1251-1265, 2012.
    • [19] S. Panichpapiboon and W. Pattara-Atikom, “A review of information dissemination protocols for vehicular ad hoc networks,” Communications Surveys & Tutorials, IEEE, vol. 14, no. 3, pp. 784-798, 2012.
    • [20] Y. Bi, H. Zhao, and X. Shen, “A directional broadcast protocol for emergency message exchange in inter-vehicle communications,” in Communications, 2009. ICC'09. IEEE International Conference on. IEEE, 2009, pp. 1-5.
    • [21] Y. Bi, L. X. Cai, X. Shen, and H. Zhao, “Efficient and reliable broadcast in intervehicle communication networks: A cross-layer approach,” Vehicular Technology, IEEE Transactions on, vol. 59, no. 5, pp. 2404- 2417, 2010.
    • [22] T. Taleb and K. B. Letaief, “A cooperative diversity based handoff management scheme.” IEEE Trans. on Wireless Communications, vol. 9, no. 4, pp. 1462-1471, 2010.
    • [23] T. Taleb and A. Ksentini, “Follow me cloud: Interworking federated clouds & distributed mobile networks.” IEEE Network Magazine, vol. 27, no. 5, pp. 12-19, 2013.
    • [24] T. Taleb, “Towards carrier cloud: Potential, challenges, & solutions.” IEEE Wireless Communications Magazine, vol. 21, no. 3, pp. 80-91, 2014.
    • [25] M. Eltoweissy, S. Olariu, and M. Younis, “Towards autonomous vehicular clouds,” in Ad hoc networks. Springer, 2010, pp. 1-16.
    • [26] K. Mershad and H. Artail, “A framework for implementing mobile cloud services in vanets,” in Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on. IEEE, 2013, pp. 83-90.
    • [27] M. Khaleel and H. Artail, “Finding a star in a vehicular cloud,” Intelligent Transportation Systems Magazine, IEEE, vol. 5, no. 2, pp. 55-68, 2013.
    • [28] Y.-W. Lin, J.-M. Shen, and H.-C. Weng, “Gateway discovery in vanet cloud,” in High Performance Computing and Communications (HPCC), 2011 IEEE 13th International Conference on. IEEE, 2011, pp. 951- 954.
    • [29] S. Gupte and M. Younis, “Vehicular networking for intelligent and autonomous traffic management,” in Communications (ICC), 2012 IEEE International Conference on. IEEE, 2012, pp. 5306-5310.
    • [30] Q. Yang and L. Shen, “A multi-hop broadcast scheme for propagation of emergency messages in vanet,” in Communication Technology (ICCT), 2010 12th IEEE International Conference on. IEEE, 2010, pp. 1072- 1075.
    • [31] H. Shan, W. Zhuang, and Z. Wang, “Distributed cooperative mac for multihop wireless networks,” Communications Magazine, IEEE, vol. 47, no. 2, pp. 126-133, 2009.
    • [32] K. Abboud and W. Zhuang, “Modeling and analysis for emergency messaging delay in vehicular ad hoc networks,” in Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE. IEEE, 2009, pp. 1-6.
    • [33] D. Xu, T. Sakurai, and H. L. Vu, “Mac acess delay in ieee 802.11 e edca,” in Vehicular Technology Conference Fall (VTC 2006-Fall), 2006 IEEE 64th. IEEE, 2006, pp. 1-5.
    • Bingyi Liu is currently pursuing the Ph.D. degree under a joint program with the Department of Computer Science, Wuhan University, Wuhan, China, and the Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong. He received the B.Sc. degree in computer science from Wuhan Institute of Technology, Wuhan, China, in 2011.
    • His research interests include wireless networks, vehicular ad-hoc network, and internet of things. Dongyao Jia received the B.E. degree in automation from Harbin Engineering University, Harbin, China, in 1998, the M.E. degree in automation from Guangdong University of Technology, Guangzhou, China, in 2003, and Ph.D. degree in computer science from City University of Hong Kong in 2014. He is currently a Research Fellow in Institute for Transport Studies (ITS), University of Leeds, UK. He was a visiting scholar in University of Waterloo in 2014. He worked as a senior engineer in the telecom field in China from 2003 to 2011. He also took part in the establishment of several national standards for home networks. His current research interests include vehicular cyber-physical systems, traffic flow modeling, and internet of things.
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