Skip to main content
Log in

Efficient vehicular content delivery

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Nowadays, most of the traffic in vehicular networks is relevant to content, so the content-to-requester method could be an ideal solution for vehicular content delivery. However, due to the features of vehicular networks such as high mobility, the content-to-requester paradigm might cause the frequent content delivery failures and increase the content delivery cost. Inspired by the idea that the address-based mechanism can support mobility and reduce content delivery costs, we are motivated to take advantage of the address-based mechanism to achieve the content-to-requester paradigm. Based on this motivation, we propose a vehicular content delivery scheme with mobility support (VCDM). In VCDM, the receiver and provider handovers are achieved so that a receiver can correctly receive the requested content from a provider via one successful content delivery process. Moreover, a location-based address is proposed so that a requester can acquire the content from the nearest provider in a unicast way. Finally, VCDM is analyzed and evaluated, and the data show that VCDM effectively improves the content delivery success rate and reduces the content delivery cost and latency.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Ahmed SH, Bouk SH, Kim D (2015) Rufs: robust forwarder selection in vehicular content-centric networks. IEEE Commun Lett 19(9):1616–1619

    Article  Google Scholar 

  2. Amadeo M, Campolo C, Quevedo J, Corujo D (2016) Information-centric networking for the internet of things: challenges and opportunities. IEEE Netw 30(2):92–100

    Article  Google Scholar 

  3. Arshad S, Azam MA, Rehmani MH, Loo J (2019) Recent advances in information-centric networking-based internet of things (ICN-IoT). IEEE Internet Things J 6(2):2128–2158

    Article  Google Scholar 

  4. Bastos IV, Moraes IM (2019) A diversity-based search-and-routing approach for named-data networking. Comput Netw 157:11–23

    Article  Google Scholar 

  5. Bouk SH, Ahmed SH, Park KJ, Eun Y (2019) Interest broadcast suppression scheme for named data wireless sensor networks. IEEE Access 7:51799–51809

    Article  Google Scholar 

  6. Bouk, S. H., Ahmed, S. H., Park, K., & Eun, Y. (2019). Interest broadcast suppression scheme for named data wireless sensor networks. IEEE Access,, 51799–51809.

  7. Fang C, Yu FR, Huang T, Liu J, Liu Y (2015) A survey of green information-centric networking: research issues and challenges. IEEE Communications Surveys & Tutorials 17(3):1455–1472

    Article  Google Scholar 

  8. Gao D, Zhang S, Zhang F, He T, Zhang J (2019) Rowbee: a routing protocol based on cross-technology communication for energy-harvesting wireless sensor networks. IEEE Access 7:40663–40673

  9. Garcia-Luna-Aceves J., & Mirzazad-Barijough M (2015, May) Enabling correct interest forwarding and retransmissions in a content centric network. In Proceedings of the Eleventh ACM/IEEE Symposium on Architectures for networking and communications systems (pp. 135-146). IEEE Computer Society.

  10. Grassi G, Pesavento D, Wang L, Pau G, Vuyyuru R, Wakikawa R, Zhang L (2013) Vehicular inter-networking via named data. SIGMOBILE Mob Comput Commun Rev 17:23–24

    Article  Google Scholar 

  11. Grassi, G., Pesavento, D., Pau, G., Vuyyuru, R., Wakikawa, R., & Zhang, L. (2014, April). VANET via named data networking. In computer communications workshops (INFOCOM WKSHPS), 2014 IEEE conference on (pp. 410-415). IEEE.

  12. Gupta, A., & Shankarananda, B. M. (2015). Fast interest recovery in content centric networking under lossy environment. In 2015 IEEE CCNC, IEEE (pp. 802-807).

  13. Jacobson V, Smetters DK, Thornton JD, Plass MF, Briggs NH, Braynard RL (2012) Networking named content. Commun ACM 55(1):117–124

    Article  Google Scholar 

  14. Khelifi H, Luo S, Nour B, Moungla H, Faheem Y, Hussain R, Ksentini A (2019) Named data networking in vehicular ad hoc networks: state-of-the-art and challenges. IEEE Communications Surveys & Tutorials

  15. Lee V, Lee EK, Gerla M, Oh SY (2014) Vehicular cloud networking: architecture and design principles. Communications Magazine, IEEE 52(2):148–155

  16. Ortega V, Bouchmal F, Monserrat JF (2018) Trusted 5G vehicular networks: Blockchains and content-centric networking. IEEE Veh Technol Mag 13(2):121–127

    Article  Google Scholar 

  17. Rezaeifar Z, Wang J, Oh H, Lee SB, Hur J (2019) A reliable adaptive forwarding approach in named data networking. Futur Gener Comput Syst 96:538–551

    Article  Google Scholar 

  18. Wang X (2018) Vehicular cloud construction and content acquisition. IEEE Intell Transp Syst Mag 10(3):135–145

    Article  Google Scholar 

  19. Wang X (2018) Data acquisition in vehicular ad hoc networks. Commun ACM 61(5):83–88

    Article  Google Scholar 

  20. Wang X, Cai S (2020) An efficient named data networking based IoT cloud framework. IEEE Internet of Things Journal 7(4):3453–3461

    Article  Google Scholar 

  21. Wang, X., & Li, Y. (2019). Vehicular named data networking framework. IEEE Transactions on Intelligent Transportation Systems,, 1–10.

  22. Wang X, Li Y (2020) Content delivery based on vehicular cloud. IEEE Trans Veh Technol 69(2):2105–2113

    Article  Google Scholar 

  23. Wang X, Wang X (2019) Vehicular content-centric networking framework. IEEE Syst J 13(1):519–529

    Article  Google Scholar 

  24. Wang, L., Waltari, O., & Kangasharju, J. (2013, December). Mobiccn: mobility support with greedy routing in content-centric networks. In global communications conference (GLOBECOM), 2013 IEEE (pp. 2069-2075). IEEE.

  25. Wang X, Li Y, Wang X (2018) Location-related content communications with mobility support in vehicular scenarios. IEEE Transactions on Computational Social Systems 5(4):918–930

    Article  Google Scholar 

  26. Xiaonan W, Haili H, Hongbin C, Rong Z (2015) A scheme for connecting vehicular networks to the internet. Trans Emerg Telecommun Technol 26(5):836–850

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by National Natural Science Foundation of China (61202440).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaonan Wang.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cai, S., Wang, X. Efficient vehicular content delivery. Multimed Tools Appl 79, 28043–28063 (2020). https://doi.org/10.1007/s11042-020-09349-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-020-09349-9

Keywords

Navigation