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.
Similar content being viewed by others
References
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)
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)
Zhao, Y., Zhang, L., Ma, X., et al.: DualEMC: energy efficient mobile multimedia communication with cloud. Telecommun. Syst. 60(1), 85–94 (2015)
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)
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)
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)
Calonico, S., Cattaneo, M.D., Titiunik, R.: Robust data-driven inference in the regression-discontinuity design. Stata J. 14(4), 909–946 (2014)
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)
Wang, Z., Glynn, P.W., Ye, Y.: Likelihood robust optimization for data-driven problems. CMS 13(2), 241–261 (2016)
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)
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)
Park, J., Lee, K.O., Han, J.H.: Interactive visualization of magnetic field for virtual science experiments. J. Vis. 19(1), 1–11 (2016)
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)
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)
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)
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)
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
Corresponding author
Rights and permissions
About this article
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
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10586-018-2175-2