A Network Coding Collaborative Download Scheme for Platoon-Based VANETs

  • Jincai Ye
  • Xuewen Huang
  • Xiaohuan Li
  • Guan Wang
  • Rongbin Yao
  • Xin Tang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 237)

Abstract

Platoon-based Vehicular Ad-hoc Networks (VANETs) can significantly improve the road capacity and facilitate the potential cooperative communication applications. However, the communication links between platoon-based vehicles and the roadside unit (RSU) are unstable, which decrease the throughput and increase the delay, and cause the infotainment resources cannot be downloaded quickly. In this paper, we propose a collaborative download strategy in platoon-based VANETs to solve the problems. On the basis of RSUs support simultaneous communication with multiple vehicles, when a demand vehicle need to download multimedia files, we use the collaborative download request management mechanism to request other vehicles in the same RSU coverage area to participate in the collaborative download process. Besides, to decrease the download time, we divide the required multimedia files into multiple data packets. After the RSUs encode the data packets via linear network coding, the cooperative vehicles forward the received encoded packets to the demand vehicle. We also research the impact of speed and file size on the performance of cooperative download strategy. The simulation results show that the proposed cooperative download strategy can effectively increase throughput and reduce the downloading completion time when download multimedia files, especially when the size of multimedia files is large and the speed of platoon-based vehicles is fast.

Keywords

Platoon-based VANETs Collaborative download Request management Network coding File segment 

Notes

Acknowledgment

This work was supported by the National Natural Science Foundation of China (61762030, 61561014), Natural Science Foundation of Guangxi Province under Grant (2015GXNSFBA139247, 2016GXNSFGA380002), the Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (Guilin University of Electronic Technology), CRKL160106, and the Guangxi Colleges and Universities Key Laboratory of cloud computing and complex systems.

References

  1. 1.
    Hall, R., Chin, C.: Vehicle sorting for platoon formation: impacts on highway entry and throughput. Transp. Res. Part C Emerg. Technol. 13(5), 405–420 (2005)CrossRefGoogle Scholar
  2. 2.
    Kenney, J.B.: Dedicated short-range communications (DSRC) standards in the United States. In: IEEE, vol. 99, no. 7, pp. 1162–1182 (2011)Google Scholar
  3. 3.
    Jiang, D., Taliwal, V., Meier, A., Holfelder, W., Herrtwich, R.: Design of 5.9 GHz DARC-based vehicular safety communication. IEEE Wirel. Commun. 13(5), 36–43 (2006)CrossRefGoogle Scholar
  4. 4.
    Jia, D., Lu, K., Wang, J., Zhang, X., Shen, X.: A survey on platoon-based vehicular cyber-physical systems. IEEE Commun. Surv. Tutor. 18(1), 263–284 (2016)CrossRefGoogle Scholar
  5. 5.
    Shao, C., Leng, S., Zhang, Y., Vinel, A., Jonsson, M.: Performance analysis of connectivity probability and connectivity-aware MAC protocol design for platoon-based VANETs. IEEE Trans. Veh. Technol. 64(12), 5596–5609 (2015)CrossRefGoogle Scholar
  6. 6.
    Li, X., Hu, B.: Multi-hop delay reduction for safety-related message broadcasting in vehicle-to-vehicle communications. IET Commun. 9(3), 404–411 (2015)CrossRefGoogle Scholar
  7. 7.
    Shrestha, B., Niyato, D., Han, Z., Hossain, E.: Wireless access in vehicular environments using BitTorrent and bargaining. In: IEEE Global Telecommunications Conference, pp. 1–5 (2008)Google Scholar
  8. 8.
    Chen, B.B., Chan, M.C.: MobTorrent: a framework for mobile Internet access from vehicles. In: IEEE INFOCOM, pp. 1404–1412 (2009)Google Scholar
  9. 9.
    Fiore, M., Barcelo-Ordinas, J.M.: Cooperative download in urban vehicular networks. In: 6th IEEE International Conference on Mobile Adhoc and Sensor Systems, pp. 20–29 (2009)Google Scholar
  10. 10.
    Firooz, M.H., Roy, S.: Collaborative downloading in VANET using network coding. In: IEEE International Conference on Communications ICC, pp. 4584–4588 (2012)Google Scholar
  11. 11.
    Zhu, W., Li, D., Saad, W.: Multiple vehicles collaborative data download protocol via network coding. IEEE Trans. Veh. Technol. 64(4), 1607–1619 (2015)CrossRefGoogle Scholar
  12. 12.
    Jia, D., Zhang, R., Lu, K., Wang, J., Bi, Z., Lei, J.: Improving the uplink performance of drive-thru Internet via platoon-based cooperative retransmission. IEEE Trans. Veh. Technol. 63(9), 4536–4545 (2014)CrossRefGoogle Scholar
  13. 13.
    Taliwal, V., Jiang, D.: Mathematical analysis of IEEE 802.11 broadcast performance in a probabilistic channel. DaimlerChrysler Technical Paper (2005)Google Scholar
  14. 14.
    Kenney, J.B.: Dedicated short-range communications (DSRC) standards in the United States. IEEE 99(7), 1162–1182 (2011)CrossRefGoogle Scholar
  15. 15.
    Ho, T., Medard, L., Shi, J., Effros, L., Karger, D.: On randomized network coding. In: Allerton Conference on Communication, Control, and Signal Processing, pp. 1–10 (2003)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Jincai Ye
    • 1
    • 2
  • Xuewen Huang
    • 2
  • Xiaohuan Li
    • 1
    • 2
  • Guan Wang
    • 3
  • Rongbin Yao
    • 2
  • Xin Tang
    • 2
  1. 1.Beihang UniversityBeijingChina
  2. 2.Key Laboratory of Cognitive Radio and Information ProcessingMinistry of Education (Guilin University of Electronic Technology)GuilinChina
  3. 3.The 34TH Research Institute of CETCGuilinChina

Personalised recommendations