Skip to main content

A Review on Video Sharing over Content Centric Networks

  • Conference paper
  • First Online:
Computer Networks, Big Data and IoT

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 117))

  • 860 Accesses

Abstract

The rise in wireless communication technologies has enabled the wireless mobile networks to play a key role in various Internet applications like social networks, mobile sensing, video streaming, etc. With this rising trend in mobile networks, many researchers have moved their focus on metrics to enhance quality of service and experience to the users on video streaming. The network providers need to provide hassle-free streaming, with high-quality resolution, instant start-up, less jitter to stay in competition and to increase their consumer base. This paper gives an overview of metrics required for achieving quality of viewing experience and providing service from the perspective of users, network provider, respectively. Various solutions proposed to overcome the technical hitch faced by network providers in video sharing in mobile networks is reviewed.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight 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

References

  1. Popescu, A., Yao, Y., Ilie, D.: Video distribution networks: architectures and system requirements. In: Greening Video Distribution Networks, pp. 1–23. Springer, Cham (2018)

    Google Scholar 

  2. Sharma, R., Sungheetha, A.: An efficient dimension reduction based fusion of CNN and SVM model for detection of abnormal incident in video surveillance. J. Soft Comput. Paradigm (JSCP) 3(2), 55–69 (2021)

    Article  Google Scholar 

  3. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html

  4. Kurose, J.: Content-centric networking: technical perspective. Commun. ACM 55(1), 116–116 (2012)

    Article  Google Scholar 

  5. Software Defined Networks. https://sdn.ieee.org/

  6. Pakha, C., Chowdhery, A., Jiang, J.: Reinventing video streaming for distributed vision analytics. In: 10th {USENIX} Workshop on Hot Topics in Cloud Computing (HotCloud 18) (2018)

    Google Scholar 

  7. Rodrigues, D., Cerqueira, E., Monteiro, E.: Quality of service and quality of experience in video streaming. In: Proceedings of the International Workshop on Traffic Management and Traffic Engineering for the Future Internet (FITraMEn2008). EuroNF NoE, Porto, Portugal (2008)

    Google Scholar 

  8. Zhong, L., Jia, S., Wang, M.: A novel contribution-aware neighbor- assist video delivery solution over mobile content-centric networks. Mobile Inf. Syst. 2016 (2016)

    Google Scholar 

  9. Jia, S., et al.: A novel video sharing solution based on demand-aware resource caching optimization in wireless mobile networks. Mobile Inf. Syst. 2017 (2017)

    Google Scholar 

  10. Zhang, R., Xiong, S.: A novel mobile video community discovery scheme using ontology-based semantical interest capture. Mobile Inf. Syst. 2016 (2016)

    Google Scholar 

  11. Martin, A., et al.: Network resource allocation system for QoE-aware delivery of media services in 5G networks. IEEE Trans. Broadcast. 64(2), 561–574 (2018)

    Google Scholar 

  12. Han, B., et al.: AMVS-NDN: Adaptive mobile video streaming and sharing in wireless named data networking. In: 2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE (2013)

    Google Scholar 

  13. Meyerson, E., et al.: Virtualized dynamic transcoding service for adaptive streaming video over HTTP in 5G systems. In: 2018 International Conference on Smart Communications in Network Technologies (SaCoNeT). IEEE (2018)

    Google Scholar 

  14. Wang, M., et al.: Decentralized asynchronous optimization for dynamic adaptive multimedia streaming over information centric networking. J. Netw. Comput. Appl. 157, 102574 (2020)

    Google Scholar 

  15. Noh, H., Song, H.: Progressive caching system for video streaming services over content centric network. IEEE Access 7, 47079–47089 (2019)

    Article  Google Scholar 

  16. Sun, G., et al.: Delay-aware content distribution via cell clustering and content placement for multiple tenants. J. Netw. Comput. Appl. 137, 112–126 (2019)

    Google Scholar 

  17. Kumar, S., Tiwari, R.: Optimized content centric networking for future internet: dynamic popularity window based caching scheme. Comput. Netw. 179, 107434 (2020)

    Google Scholar 

  18. Situmorang, H., et al.: A simulation of cache replacement strategy on named data network. In: 2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA). IEEE (2018)

    Google Scholar 

  19. Ji, Y., et al.: Replacement based content popularity and cache gain for 6G content-centric network. Phys. Commun. 44, 101238 (2021)

    Google Scholar 

  20. Alotaibi, B., Alahmadi, S.: Efficient Caching and Replacement Strategy in Content Centric Network (CCN) Based on Xon-Path and Hop Count

    Google Scholar 

  21. Lv, J., et al.: ACO-inspired information-centric networking routing mechanism. Comput. Netw. 126, 200–217 (2017)

    Google Scholar 

  22. Zhou, P., et al.: An ant colony inspired cache allocation mechanism for heterogeneous information centric network. IEEE Access 9, 55485- 55496 (2021)

    Google Scholar 

  23. Wang, Z., et al.: An energy efficient routing protocol based on improved artificial bee colony algorithm for wireless sensor networks. IEEE Access 8, 133577–133596 (2020)

    Google Scholar 

  24. Zhang, T., et al.: Seamless clustering multi-hop routing protocol based on improved artificial bee colony algorithm. EURASIP J. Wirel. Commun. Netw. 2020(1), 1–20 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. R. Charulatha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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

Victoria Priscilla, C., Charulatha, A.R. (2022). A Review on Video Sharing over Content Centric Networks. In: Pandian, A.P., Fernando, X., Haoxiang, W. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 117. Springer, Singapore. https://doi.org/10.1007/978-981-19-0898-9_30

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-0898-9_30

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0897-2

  • Online ISBN: 978-981-19-0898-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics