Abstract
Power communication network is very important for the management of the power system. With the exponential growth of the power equipment and the drastic increase in the amount of power monitoring data, there is a huge challenge for the smart network access of the power communication network. Then, software defined network (SDN) which is flexible and scalable is suitable for the power communication network. In order to increase the high quality of service (QoS) of provided communication for users, the traffic QoS sensing is the key of the smart network access in the power communication network. Then, we propose a SDN-Based active measurement method to measure the evaluation parameters of the smart network access in the power communication network. Firstly, we introduce the instructions provided by the OpenFlow protocol, which can be used to collect statistics from OpenFlow switches. Secondly, we define the parameters that should be measured in the power communication network to evaluate the performance of the network and give the corresponding measurement method with them. Next, we proposed a SDN-based active measurement algorithm that updates its measurement interval based on the measurement throughput changes. Finally, we built a simulation platform using the Mininet simulator and the POX controller to verify the proposed measurement method, and the simulation results show the accuracy of our proposed method and the measurement load of our proposed method are both better than that of Polling measurement methods.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Ge, W., Luo, H., Zhao, H. et al. (2017). Research on communication technology of power monitoring system based on medium voltage power line carrier and low power wide area network. In Proceeding of the IEEE conference on energy internet and energy system integration (pp. 1–6).
Zhen, X., Rui, L., Qiu, X. et al. (2018). A backup algorithm for power communication network based on fault cascade in the network virtualization environment. In Proceeding of the NOMS’18 (pp. 1–5).
Yassine, A., Rahimi, H., & Shirmohammadi, S. (2015). Software defined network traffic measurement: Current trends and challenges. IEEE Instrumentation and Measurement Magazine, 18(2), 42–50.
Ming, Z., Ling, W., Zhongqiu, L., et al. (2015). The design of SDN technology application in power communication access network. In Proceedings of the ICCP’15 (pp. 1–6).
Chen, Z., Wu, J., Xia, Y., et al. (2017). Robustness of interdependent power grids and communication networks: A complex network perspective. IEEE Transactions on Circuits and Systems II: Express Briefs, 65(1), 115–119.
Pittolo, A., & Tonello, A. (2016). Physical layer security in power line communication networks. Lecture Notes in Electrical Engineering, 358, 125–144.
Wang, T., Ma, S., Liu, X., et al. (2019). Reliability evaluation model of power communication network considering the importance of transmission service. Smart Innovation, Systems and Technologies, 156, 355–364.
Xing, N., Xu, S., Zhang, S., et al. (2016). Load balancing-based routing optimization mechanism for power communication networks. China communications, 13(18), 169–176.
Wang, L., Huo, C., Gao, F. et al. (2018). Link awareness based networking scheme of power line carrier and wireless converged communications. In Proceedings of the ICCT’18, (pp. 1–5).
Shu, Z., Wan, J., Lin, J., et al. (2016). Traffic engineering in software-defined networking: Measurement and management. IEEE Access, 4, 3246–3256.
Bakhshi, T. (2017) Multi-feature enterprise traffic characterization in OpenFlow-based software defined networks. In Proceeding of the FIT’17 (pp. 1–4).
Jara, V., & Shayan, Y. (2018). Latency measurement in an SDN network using a POX controller. In Proceedings of the CCECE’18 (pp. 1–5).
Jiang, D., Huo, L., & Li, Y. (2018). Fine-granularity inference and estimations to network traffic for SDN. PLoS ONE, 13(5), 1–23.
Abar, T., Letaifa, A., & Asmi, S. (2017). Objective and subjective measurement QoE in SDN networks. In Proceedings of the IWCMC’17 (pp. 1–6).
Fu, C., John, W., & Meirosu, C. (2016). EPLE: An efficient passive lightweight estimator for SDN packet loss measurement. In Proceedings of the NFV-SDN’16, (pp. 1–5).
Jiang, D., Wang, Y., Lv, Z. et al. (2019). Big data analysis-based network behavior insight of cellular networks for industry 4.0 applications. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2019.2930226.
Jiang, D., Huo, L., Lv, Z., et al. (2018). A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking. IEEE Transactions on Intelligent Transportation Systems, 19(10), 3305–3319.
Jiang, D., Huo, L., & Song, H. (2018). Rethinking behaviors and activities of base stations in mobile cellular networks based on big data analysis. IEEE Transactions on Network Science and Engineering, 1(1), 1–12.
Jiang, D., Wang, W., Shi, L., et al. (2018). A compressive sensing-based approach to end-to-end network traffic reconstruction. IEEE Transactions on Network Science and Engineering, 5(3), 1–12.
Acknowledgments
This work was supported by the National Key Research and Development Program of China (2017YFB1010001), the Research on State Grid Corp Science and Technology Program: Research on Key Technology of ‘IP + Optical’ Orchestrator for Power Service (NO. GCQDK00DWJS1800037). The authors wish to thank the reviewers for their helpful comments.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Liu, C., Ju, W., Zhang, G. et al. A SDN-based active measurement method to traffic QoS sensing for smart network access. Wireless Netw 27, 3677–3688 (2021). https://doi.org/10.1007/s11276-019-02238-6
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11276-019-02238-6