Abstract
The proliferation of Internet of Things (IoT) devices has rapidly increased the number of internet connectivity. However, the conventional network lacks global knowledge to manage these devices efficiently. Software Defined Wireless Network (SDWN) has emerged as a new technology to manage these devices in wireless networks efficiently. However, SDWN is a flow-driven network that requires event generation for any new event in the network. This will require an exchange of control messages more often. In addition, the mobility nature of wireless devices will also need the Software Defined Networks (SDN) controller to monitor resources for efficient network management periodically. Therefore, Flow setup requests, control messages, and network resource monitoring significantly impact the SDN controller, which may affect its performance. This study investigates the influence of mobile devices on SDN Controller Performance in IoT-Managed Software-Defined Wireless Networks. The study derived formulae to estimate control overhead, network resources management, and flow setup requests. Thus, we experimented to analyze the controller’s performance based on CPU and Memory usage.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Isyaku, B., Soperi, M., Zahid, M., Kamat, M.B.: Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey (2020)
Fazea, Y., Mohammed, F.: Software defined networking based information centric networking: an overview of approaches and challenges. In: 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 4–5 July 2021, pp. 1–8 (2021). https://doi.org/10.1109/ICOTEN52080.2021.9493541
Wu, D., Arkhipov, D.I., Asmare, E., Qin, Z., McCann, J.A.: UbiFlow: mobility management in urban-scale software defined IoT. In: Proceedings - IEEE INFOCOM, vol. 26, pp. 208–216 (2015)
Wu, D., Nie, X., Asmare, E., Arkhipov, D.I., Qin, Z., et al.: Towards distributed SDN: mobility management and flow scheduling in software defined urban IoT. IEEE Trans. Parallel Distrib. Syst. 31(6), 1400–1418 (2020)
Rabet, I., Selvaraju, S.P., Fotouhi, H., Alves, M., Vahabi, M., et al.: SDMob: SDN-based mobility management for IoT networks. J. Sens. Actuator Netw. 11(1), 8 (2022)
Isyaku, B., Ali, M.S.: Performance Comparison of Machine Learning Classifiers for DDOS Detection and Mitigation on Software Defined Networks (2023)
Isyaku, B., Bin Abu Bakar, K., Ghaleb, F.A., Sulaiman, S.: Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities. In: 2022 12th IEEE Symposium on Computer Applications & Industrial Electronics, ISCAIE 2022, pp. 71–75 (2022)
Li, H., Li, P., Guo, S.: MoRule: optimized rule placement for mobile users in SDN-enabled access networks. In: 2014 IEEE Global Communications Conference, GLOBECOM 2014, pp. 4953–4958 (2014)
Misra, S., Saha, R., Ahmed, N.: Health-flow: criticality-aware flow control for SDN-based healthcare IoT. In: 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings, vol. 2020-January (2020)
Sood, K., Yu, S., Xiang, Y.: Software-defined wireless networking opportunities and challenges for internet-of-things: a review. IEEE Internet Things J. 3(4), 453–463 (2016)
Isyaku, B., Bin, K., Bakar, A.: Managing Smart Technologies with Software-Defined Networks for Routing and Security Challenges: A Survey (2023)
Fazea, Y., Mohammed, F., Al-Nahari, A.: A review on 5G technology in IoT-application based on light fidelity (Li-Fi) indoor communication. In: Saeed, F., Mohammed, F., Ghaleb, F. (eds.) IRICT 2021. LNDECT, vol. 127, pp. 371–384. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-98741-1_31
Theodorou, T., Mamatas, L.: SD-MIoT: a software-defined networking solution for mobile internet of things. IEEE Internet Things J. 8(6), 4604–4617 (2021)
Bera, S., Misra, S., Roy, S.K., Obaidat, M.S.: Soft-WSN: software-defined WSN management system for IoT applications. IEEE Syst. J. 12(3), 2074–2081 (2018)
Mertens, J.S., Milotta, G.M., Nagaradjane, P., Morabito, G.: SDN-(UAV)ISE: applying software defined networking to wireless sensor networks with data mules. In: Proceedings - 21st IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2020, pp. 323–328 (2020)
Bera, S., Misra, S., Obaidat, M.S.: Mobi-Flow: mobility-aware adaptive flow-rule placement in software-defined access network. IEEE Trans. Mob. Comput. 18(8), 1831–1842 (2019)
Kim, Y., Park, J., Kyung, Y.: Mobility-aware hybrid flow rule cache scheme in software-defined access networks. Electronics 11(1), 160 (2022)
Bera, S., Misra, S., Obaidat, M.S.: Mobility-aware flow-table implementation in software-defined IoT. In: 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, pp. 1–6 (2016)
Acknowledgements
One of the authors would like to appreciate Sule Lamido University, Kafin Hausa, Jigawa State for allowing him to serve as Post doctorate researcher in Universiti Teknologi Malaysia.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Isyaku, B., Bakar, K.A., Abdulrahman, S., Yusuf, M.N., Muchtar, F.B., Ghaleb, F.A. (2024). Mobile Device Influence on SDN Controller Performance in IoT-Managed Software-Defined Wireless Networks. In: Saeed, F., Mohammed, F., Fazea, Y. (eds) Advances in Intelligent Computing Techniques and Applications. IRICT 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-031-59707-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-031-59707-7_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-59706-0
Online ISBN: 978-3-031-59707-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)