Mobility management in content-centric networking

  • Xiaonan WangEmail author
  • Yanli Li


The content-centric networking depends on a forwarding information base (FIB) to forward Interest towards providers and utilizes reverse paths in a pending Interest table (PIT) to send Data back to consumers. If consumers change their locations, reverse paths may disrupt and consequently content-centric communications fail. If providers change their locations, each relevant content router (CR) has to update FIB. This may lead to content-centric communication disruption and FIB pollution. Taking these issues into account, we propose a provider and consumer mobility support scheme and aim to improve the Interest and Data delivery rates. The proposed provider handover algorithm supports the provider mobility by updating FIB in a unicast way. Since only the previous CR and serving CR are involved in updating FIB, the handover is achieved without FIB pollution. As a result, the provider handover cost and latency are reduced and the Interest delivery rate is improved. The proposed consumer handover algorithm supports the consumer mobility by updating PIT in a unicast way. Based on the updated PIT, Data can be sent back to consumers even if they change their locations. Since consumers retrieve Data via one communication process, the Data delivery rate is improved and the retransmission of Interest is avoided. Compared with the existing solution, this scheme reduces the handover cost and latency by nearly 72% and 51% respectively, and increases the delivery rate by nearly 11.5%.


Content-centric networking Delivery rate Provider handover Consumer handover 



This work is supported by National Natural Science Foundation of China (61202440) and CERNET Innovation Project (NGII20170106).

Compliance with ethical standards

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.


  1. 1.
    Dou, Z., Wang, X., & Li, Y. (2019). Coordinate-based addressing for MANET. Telecommunication Systems, 71(1), 121–139.CrossRefGoogle Scholar
  2. 2.
    Wang, X., & Li, Y. (2019). Content retrieval based on vehicular cloud in internet of vehicles. IEEE Transactions on Computational Social Systems, 6(3), 582–591.CrossRefGoogle Scholar
  3. 3.
    Fang, C., Yu, F. R., 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.CrossRefGoogle Scholar
  4. 4.
    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.CrossRefGoogle Scholar
  5. 5.
    Su, Z., Hui, Y., & Yang, Q. (2017). The next generation vehicular networks: a content-centric framework. IEEE Wireless Communications, 24(1), 60–66.CrossRefGoogle Scholar
  6. 6.
    Wang, X. (2018). Vehicular cloud construction and content acquisition. IEEE Intelligent Transportation Systems Magazine, 10(3), 135–145.CrossRefGoogle Scholar
  7. 7.
    Akhtar, N., Khan, M. A., Ullah, A., & Javed, M. Y. (2019). Congestion avoidance for smart devices by caching information in MANETS and IoT. IEEE Access, 7, 71459–71471.CrossRefGoogle Scholar
  8. 8.
    Jacobson, V., Smetters, D. K., Thornton, J. D., Plass, M. F., Briggs, N. H., & Braynard, R. L. (2012). Networking named content. Communications of the ACM, 55(1), 117–124.CrossRefGoogle Scholar
  9. 9.
    Wang, X., & Zhu, X. (2018). Anycast-based content-centric MANET. IEEE Systems Journal, 12(2), 1679–1687.CrossRefGoogle Scholar
  10. 10.
    Liu, Y., & Yu, S. Z. (2016). Network coding-based multisource content delivery in content centric networking. Journal of Network and Computer Applications, 64, 167–175.CrossRefGoogle Scholar
  11. 11.
    Garcia-Luna-Aceves, J. 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.Google Scholar
  12. 12.
    Kim, D. H., Kim, J. H., Kim, Y. S., Yoon, H. S., & Yeom, I. (2015). End-to-end mobility support in content centric networks. International Journal of Communication Systems, 28(6), 1151–1167.CrossRefGoogle Scholar
  13. 13.
    Li, C., Liu, W., Wang, L., Li, M., & Okamura, K. (2015). Energy-efficient quality of service aware forwarding scheme for content-centric networking. Journal of Network and Computer Applications, 58, 241–254.CrossRefGoogle Scholar
  14. 14.
    Lee, J., Cho, S., & Kim, D. (2012). Device mobility management in content-centric networking. IEEE Communications Magazine, 50(12), 28–34.CrossRefGoogle Scholar
  15. 15.
    Wang, X., Le, D., Cheng, H., & Yao, Y. (2015). Mobility management for delay-sensitive urban vehicular networks. Wireless Personal Communications, 84(1), 37–55.CrossRefGoogle Scholar
  16. 16.
    Tyson, G., Sastry, N., Cuevas, R., Rimac, I., & Mauthe, A. (2013). Where is in a name? A Survey of Mobility in Information-Centric Networks. Communications of the ACM (CACM)Google Scholar
  17. 17.
    Niari, A. K., Berangi, R., & Fathy, M. (2018). ECCN: An extended CCN architecture to improve data access in vehicular content-centric network. Journal of Supercomputing, 74(1), 205–221.CrossRefGoogle Scholar
  18. 18.
    Vasilakos, X., Siris, V. A., Polyzos, G. C., & Pomonis, M. (2012, August). Proactive selective neighbor caching for enhancing mobility support in information-centric networks. In Proceedings of the second edition of the ICN workshop on Information-centric networking (pp. 61–66). ACM.Google Scholar
  19. 19.
    Rao, Y., Zhou, H., Gao, D., Luo, H., & Liu, Y. (2013). Proactive caching for enhancing user-side mobility support in named data networking. In 2013 seventh international conference on innovative mobile and internet services in ubiquitous computing (pp. 37–42). IEEE.Google Scholar
  20. 20.
    Bazzi, A., Masini, B. M., Zanella, A., De Castro, C., Raffaelli, C., & Andrisano, O. (2014). Cellular aided vehicular named data networking. In 2014 international conference on connected vehicles and expo (ICCVE) (pp. 747–752). IEEE.Google Scholar
  21. 21.
    Wang, X. (2018). Data acquisition in vehicular ad hoc networks. Communications of the ACM, 61(5), 83–88.CrossRefGoogle Scholar
  22. 22.
    Hermans, F., Ngai, E., & Gunningberg, P. (2011). Mobile sources in an information-centric network with hierarchical names: An indirection approach. 7th SNCNW.Google Scholar
  23. 23.
    Hermans, F., Ngai, E., & Gunningberg, P. (2012, June). Global source mobility in the content-centric networking architecture. In Proceedings of the 1st ACM workshop on emerging name-oriented mobile networking design-architecture, algorithms, and applications (pp. 13–18). ACM.Google Scholar
  24. 24.
    Wang, X., & Wang, X. (2019). Vehicular content-centric networking framework. IEEE Systems Journal, 13(1), 519–529.CrossRefGoogle Scholar
  25. 25.
    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.Google Scholar
  26. 26.
    Ahmed, E., & Gharavi, H. (2018). Cooperative vehicular networking: A survey. IEEE Transactions on Intelligent Transportation Systems, 19(3), 996–1014.CrossRefGoogle Scholar
  27. 27.
    Gupta, A., & Shankarananda, B. M. (2015). Fast interest recovery in content centric networking under lossy environment. In 2015 IEEE CCNC, IEEE (pp. 802–807).Google Scholar
  28. 28.
    Wang, L., Waltari, O., & Kangasharju, J. (2013, December). Mobiccn: Mobility support with greedy routing in content-centric networks. In 2013 IEEE global communications conference (GLOBECOM) (pp. 2069–2075). IEEE.Google Scholar
  29. 29.
    Al-Fares, M., Loukissas, A., & Vahdat, A. (2008, August). A scalable, commodity data center network architecture. In ACM SIGCOMM computer communication review (Vol. 38, No. 4, pp. 63–74). ACM.Google Scholar
  30. 30.
    Xylomenos, G., Ververidis, C. N., Siris, V. A., Fotiou, N., Tsilopoulos, C., Vasilakos, X., et al. (2014). A survey of information-centric networking research. IEEE Communications Surveys & Tutorials, 16(2), 1024–1049.CrossRefGoogle Scholar
  31. 31.
    Huang, W., Song, T., Yang, Y., & Zhang, Y. (2019). Cluster-based cooperative caching with mobility prediction in vehicular named data networking. IEEE Access, 7, 23442–23458.CrossRefGoogle Scholar
  32. 32.
    Gohar, M., Khan, N., Ahmad, A., Najam-Ul-Islam, M., Sarwar, S., & Koh, S. J. (2018). Cluster-based device mobility management in named data networking for vehicular networks. Mobile Information Systems, Article ID 1710591Google Scholar
  33. 33.
    Wang, X., Dou, Z., Wang, D., & Sun, Q. (2018). Mobility management for 6lowpan wsn. Computer Networks, 131, 110–128.CrossRefGoogle Scholar
  34. 34.
  35. 35.
    Ye, Z., Krishnamurthy, S. V., & Tripathi, S. K. (2003, March). A framework for reliable routing in mobile ad hoc networks. In IEEE INFOCOM 2003. Twenty-second annual joint conference of the IEEE computer and communications societies (IEEE Cat. No. 03CH37428) (Vol. 1, pp. 270–280). IEEE.Google Scholar
  36. 36.
    Abbas, S., Merabti, M., Llewellyn-Jones, D., & Kifayat, K. (2013). Lightweight sybil attack detection in manets. IEEE Systems Journal, 7(2), 236–248.CrossRefGoogle Scholar
  37. 37.
    IEEE 802.11 Working Group. (2016). Part11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. ANSI/IEEE Std., 802, 11.Google Scholar
  38. 38.
    Li, Y., & Wang, X. (2019). A novel and efficient address configuration for MANET. International Journal of Communication Systems.Google Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Changshu Institute of TechnologyChangshuChina

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