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Data Forwarding and Caching Strategy for RSU Aided V-NDN

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Wireless Algorithms, Systems, and Applications (WASA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11604))

Abstract

Vehicular Named Data Networking (V-NDN) is an Vehicular Ad-hoc Network (VANET) using Named Data Network (NDN). Interest packet forwarding and data packet caching strategy are two key issues in the field. This paper focus on the data distribution and caching strategy of V-NDN in urban road environment. First, we propose a RSU-assisted strategy for interest packet and data packet forwarding. Secondly, it is the first time to use the method of decision tree prediction to guide the data packet cache, and uses a cache replacement policy based on popularity and request cost to store data due to the memory limit of RSU. Finally, the simulation results show that the proposed strategy and method effectively improve quality of service (QoS) of network.

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References

  1. Zhang, L., Afanasyev, A., Burke, J.: Named data networking. ACM SIGCOMM Comput. Commun. Rev. 44(3), 66–73 (2014)

    Google Scholar 

  2. Xian, Y., Wang, H.: A survey of VANET oriented NDN research. Electron. World 1(6), 11–13 (2017)

    Google Scholar 

  3. Cai, Z., He, Z., Guan, X., Li, Y.: Collective data-sanitization for preventing sensitive information inference attacks in social networks. IEEE Trans. Dependable Secure Comput. 15(4), 577–590 (2018)

    Google Scholar 

  4. Cai, Z., He, Z.: Trading private range counting over big IoT data. In: The 39th IEEE International Conference on Distributed Computing Systems, Dallas, p. 1

    Google Scholar 

  5. Grassi, G., Pesavento, D., Pau, G., Vuyyuru, R., Wakikawa, R., Zhang, L.: VANET via named data networking. In: The 33rd IEEE Conference on Computer Communications Workshops, Toronto, pp. 410–415

    Google Scholar 

  6. Majeed, M.F., Ahmed, S.H., Dailey, M.N.: Enabling push-based critical data forwarding in vehicular named data networks. IEEE Commun. Lett. 21(4), 873–876 (2017)

    Google Scholar 

  7. Xiao, J., Deng, J., Cao, H., Wu, W.: Road segment information based named data networking for vehicular environments. In: Carretero, J., Garcia-Blas, J., Ko, R.K.L., Mueller, P., Nakano, K. (eds.) ICA3PP 2016. LNCS, vol. 10048, pp. 245–259. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-49583-5_19

    Google Scholar 

  8. Cai, Z., Zheng, X.: A private and efficient mechanism for data uploading in smart cyber-physical systems. IEEE Trans. Netw. Sci. Eng. 129(5), 423–429 (2019)

    Google Scholar 

  9. Zheng, X., Cai, Z., Li, Y.: Data linkage in smart IoT systems: a consideration from privacy perspective. IEEE Commun. Mag. 56(9), 55–61 (2018)

    Google Scholar 

  10. Salzberg, S.L.: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993. Mach. Learn. 16(3), 235–240 (1994)

    Google Scholar 

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Acknowledgements

The material presented in this paper is based upon work funded by National Key Research Development Program of China (2016YFC0801405, 2016YFC0801804) and National Natural Science Foundation of China (61806067).

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Correspondence to Lei Shi or Zengwei Lyu .

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Wei, Z., Pan, J., Wang, K., Shi, L., Lyu, Z., Feng, L. (2019). Data Forwarding and Caching Strategy for RSU Aided V-NDN. In: Biagioni, E., Zheng, Y., Cheng, S. (eds) Wireless Algorithms, Systems, and Applications. WASA 2019. Lecture Notes in Computer Science(), vol 11604. Springer, Cham. https://doi.org/10.1007/978-3-030-23597-0_50

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  • DOI: https://doi.org/10.1007/978-3-030-23597-0_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23596-3

  • Online ISBN: 978-3-030-23597-0

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