Abstract
Our previous study proposed a channel utilization method in Software-Defined Networking (SDN) enabled multi-channel wireless mesh network (SD-WMN), which utilizes all of channel resources efficiently. However, when different types of applications are transferred together, their QoE cannot be maintained because of differences in important factors affecting QoE among these applications. Therefore, in order to handle application flows more efficiently based on QoE, this paper focuses on QoE estimation for every ongoing flows through SD-WMN. Since some parameters required for QoE calculation cannot be obtained from OpenFlow, we estimate QoE based on not only the results from SDN-based measurement but also the estimated values of parameters. Finally, we showed that our proposed method is effective for video QoE estimation, especially in a case where there is no packet loss.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Tagawa, M., Taenaka, Y., Tsukamoto, K., Yamaguchi, S.: A channel utilization method for flow admission control with maximum network capacity toward loss-free software defined WMNs. In: ICN 2015, February 2016
Nam, H., Kim, K.H., Kim, J.Y., Schulzrinne, H.: Towards QoE-aware video streaming using SDN. In: GLOBECOM, December 2014
Seppänen, J., Varela, M.: QoE-driven network management for real-time over-the-top multimedia services. In: WCNC, April 2013
Erfanian, A., Tashtarian, F., Yaghmaee, M.H.: On maximizing QoE in AVC-based HTTP adaptive streaming: an SDN approach. In: IWQoS, June 2018
Farshad, A., Georgopoulos, P., Broadbent, M., Mu, M., Race, N.: Leveraging SDN to provide an in-network QoE measurement framework. In: INFOCOM Workshop CNTCV, May 2015
Bouzidi, E.H., Luong, D.H., Outtagarts, A., Hebbar, A., Langar, R.: Online-based learning for predictive network latency in software-defined networks. In: GLOBECOM, December 2018
Recommendation ITU-T G.1071: Opinion model for network planning of video and audio streaming applications, November 2016
Acknowledgements
This paper was partly supported by JSPS KAKENHI Grant Number 17H03270, NICT Grant Number 19304, and USA Grant number NSF 17-586.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Shimokawa, S., Kanaoka, T., Taenaka, Y., Tsukamoto, K., Lee, M. (2020). SDN-Based Time-Domain Error Correction for In-Network Video QoE Estimation in Wireless Networks. In: Barolli, L., Nishino, H., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2019. Advances in Intelligent Systems and Computing, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-29035-1_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-29035-1_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29034-4
Online ISBN: 978-3-030-29035-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)