Skip to main content
Log in

Dynamic data driven big data cooperative control scheme with virtual visualization for mobile multimedia communication

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

In order to improve the quality of user experience of the wireless mobile multimedia communication and the mobile multimedia communication control efficiency, based on the little data and big data visualization, this paper proposed a mobile multimedia cooperative control algorithm. Firstly, the scale and content of the data generated by the wireless intelligent mobile terminal were considered in heterogeneous network environment. The paper established the consistency guarantee scheme of multimedia data. The control scheme of bandwidth allocation, small data distortion and channel state scheduling are presented. Then, based on the multimedia data frame sequence description of the entity mobile multimedia, according to user needs and three-dimensional space to reorganize the multimedia data. This kind of multimedia data can be used to control the quality of the user by multi dimension cross control of the multimedia stream and the entity captured by the intelligent mobile terminal. NS simulation results from the media playback quality, the quality of user experience and communication control efficiency compared with the proposed control algorithm with the adaptive cooperative FEC based on combination of network coding and channel Coding. The results show that the proposed control algorithm has high real-time performance, high efficiency, high reliability and high user satisfaction.

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.

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

Similar content being viewed by others

References

  1. Ge, X., Huang, X., Wang, Y., et al.: Energy-efficiency optimization for MIMO-OFDM mobile multimedia communication systems with QoS constraints. Veh. Technol. IEEE Trans. 63(5), 2127–2138 (2014)

    Article  Google Scholar 

  2. Pitas, C.N., Panagopoulos, A.D., Constantinou, P.: Quality of consumer experience data mining for mobile multimedia communication networks: learning from measurements campaign. Int. J. Wirel. Mobile Comput. 8(1), 34–44 (2014)

    Article  Google Scholar 

  3. Zhao, Y., Zhang, L., Ma, X., et al.: DualEMC: energy efficient mobile multimedia communication with cloud. Telecommun. Syst. 60(1), 85–94 (2015)

    Article  Google Scholar 

  4. Codrescu, L., Anderson, W., Venkumanhanti, S., et al.: Hexagon DSP: an architecture optimized for mobile multimedia and communications. IEEE Micro 34(2), 34–43 (2014)

    Article  Google Scholar 

  5. Xu, C., Jia, S., Zhong, L., et al.: Socially aware mobile peer-to-peer communications for community multimedia streaming services. IEEE Commun. Mag. 53(10), 150–156 (2015)

    Article  Google Scholar 

  6. Aghdam, S.M., Khansari, M., Rabiee, H.R., et al.: WCCP: a congestion control protocol for wireless multimedia communication in sensor networks. Ad Hoc Netw. 13(1), 516–534 (2014)

    Article  Google Scholar 

  7. Calonico, S., Cattaneo, M.D., Titiunik, R.: Robust data-driven inference in the regression-discontinuity design. Stata J. 14(4), 909–946 (2014)

    Article  MATH  Google Scholar 

  8. Xiong, R., Sun, F., Chen, Z., et al.: A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles. Appl. Energy 113(1), 463–476 (2014)

    Article  Google Scholar 

  9. Wang, Z., Glynn, P.W., Ye, Y.: Likelihood robust optimization for data-driven problems. CMS 13(2), 241–261 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  10. Ali, S., Jose, J.B., Deery, D.M., et al.: SensorDB: a virtual laboratory for the integration, visualization and analysis of varied biological sensor data. Plant Methods 11(1), 53 (2015)

    Article  Google Scholar 

  11. Means, B.K.: Promoting a more interactive public archaeology archaeological visualization and reflexivity through virtual artifact curation. Adv. Archaeol. Pract. 3(3), 235–248 (2015)

    Article  Google Scholar 

  12. Park, J., Lee, K.O., Han, J.H.: Interactive visualization of magnetic field for virtual science experiments. J. Vis. 19(1), 1–11 (2016)

    Article  Google Scholar 

  13. Peng, Y.J., Dong, Y.N., Sandrasegaran, K., et al.: A multimedia transmission control algorithm based on cross-layer design in UMTS networks. Wirel. Netw. 21(3), 949–961 (2015)

    Article  Google Scholar 

  14. Wang, Y., Yang, J., Feng, W.: A delegation authorization security protocol based on remote attestation for multimedia usage control. Recent Adv. Electr. Electron. Eng. 8(1), 18–25 (2015)

    Google Scholar 

  15. Li, Yi, Peng, J., Jiang, F., et al.: Joint spectrum sensing and data transmission optimization for energy efficiency in cognitive radio sensor networks: a dynamic cooperative method. J. Adv. Comput. Intell. Intell. Inform. 19(2), 197–204 (2015)

    Article  Google Scholar 

  16. Jin, Y., Peng, R.: Adaptive cooperative FEC based on combination of network coding and channel coding for wireless sensor networks. J. Netw. 9(2), 481–487 (2014)

    Google Scholar 

Download references

Acknowledgements

This work was supported by The Hunan Provincial Science and Technology Key Development Project 2017NK2390 and key discipline for computer application and technology of Hunan University of Science and Engineering (128030219-001).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiang-dong Yin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yin, Xd. Dynamic data driven big data cooperative control scheme with virtual visualization for mobile multimedia communication. Cluster Comput 22 (Suppl 1), 1541–1548 (2019). https://doi.org/10.1007/s10586-018-2175-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-018-2175-2

Keywords

Navigation