[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Router Forwarding Congestion Control Scheme in Information Center Networking

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 872))

  • 356 Accesses

Abstract

In order to solve the problem that the original path forwarding traffic caused by congestion that cannot be recovered in time in Information Center Networking (ICN), a congestion control scheme RFCC (Router Forwarding Congestion Control) based on path traffic recovery is proposed. This scheme combines receiver rate adjustment and router forwarding and diversion into a hybrid congestion control scheme. Active queue management technology is used to detect congestion and notify downflow nodes (consumers and routers) in time, which trigger downflow consumers to adjust the Interest sending window and intermediate routers to transfer traffic. In addition, the original path traffic is restored in time through the path traffic recovery policy. This paper implements the scheme in ndnSIM, and extensive experiments show that the proposed scheme achieves good network performance, which can not only obtain high and stable throughput, but also obtain shorter and more stable transmission delay. In addition, the optimal path transmission volume and link utilization are improved.

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

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 249.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 329.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
GBP 329.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Zhang, L., Estrin, D., Burke, J., et al.: Named Data Networking (NDN) Project (2012)

    Google Scholar 

  2. Schneider, K., et al.: A practical congestion control scheme for named data net-working. ACM Conference on Information-centric Networking. ACM (2016)

    Google Scholar 

  3. Ren, Y., et al.: Congestion control in named data networking – a survey. Comput. Commun. 86(15), 1–11 (2016)

    Google Scholar 

  4. Pan, R., Natarajan, P., Baker, F., et al.: Proportional integral controller enhanced (pie): a lightweight control scheme to address the bufferbloat problem (2017)

    Google Scholar 

  5. Ren, Y., et al.: An explicit congestion control algorithm for Named Data Networking. Computer Communications Workshops IEEE (2016)

    Google Scholar 

  6. Wang, Y., et al.: An improved hop-by-hop interest shaper for congestion control in named data networking. ACM SIGCOMM Comput. Commun. Rev. 43, 4 (2013)

    Google Scholar 

  7. Afanasyev, A., Moiseenko, I., Zhang, L.: ndnSIM: NDN simulator for NS-3 (2012)

    Google Scholar 

  8. Mastorakis, S., Afanasyev, A., Moiseenko, I., Zhang, L.: ndnsim 2.0: a new ver-sion of the ndn simulator for ns-3. NDN, Technical Report NDN-0028 (2015)

    Google Scholar 

  9. Li, Z., Xu, Y., Zhang, B., et al.: Packet forwarding in named data networking requirements and survey of solutions. IEEE Commun. Surv. Tutor. PP, 1 (2018) 

    Google Scholar 

  10. Li, Z., Liu, J., Yan, L., et al.: Smart Name lookup for NDN forwarding plane via neural networks. IEEE/ACM Trans. Netw. 29, 1–13 (2021)

    Google Scholar 

  11. Yan, L., Li, Z., Liu, K.: Learning tree: neural network-based index for NDN forwarding plane. In: The ACM SIGCOMM 2019 Conference Posters and Demos. ACM (2019)

    Google Scholar 

  12. Li, Z., Liu, K., Zhao, Y., et al.: MaPIT: an enhanced pending interest table for NDN with mapping bloom filter. IEEE Commun. Lett. 18(11), 1915–1918 (2014)

    Article  Google Scholar 

  13. Li, Z., Chen, Y., Shi, H., et al. NDN-GSM-R: a novel high-speed railway communication system via named data networking. EURASIP J. Wirel. Commun. Netw. 2016(48), 1–5 (2016)

    Google Scholar 

Download references

Acknowledgements

This work is supported by the Key Research and Development Projects of Hebei Province under Grant 20314301D, the Science and Technology Project of SGCC No.kj2022–023, Tianjin Science and technology planning project under Grant No. 20JCQNJC01490.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xin Duan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Duan, X., Zhang, Z., Shen, H., Chen, E., Shen, X. (2023). Router Forwarding Congestion Control Scheme in Information Center Networking. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2022. Lecture Notes in Electrical Engineering, vol 872. Springer, Singapore. https://doi.org/10.1007/978-981-99-2653-4_30

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-2653-4_30

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2652-7

  • Online ISBN: 978-981-99-2653-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics