# Performance and Scalability Analysis of SDN-Based Large-Scale Wi-Fi Networks
## 6 Conclusions  
We examined the scalability and performance of SDN-based large-scale Wi-Fi networks. SDN is a paradigm that uses programmable interfaces to seamlessly link application provisioning in the cloud with the network. In SDN, the control plane and forwarding plane are independent. SDN is exclusively used in the proposed study's major data centers. However, wireless networks are common and well-liked. Issues are also developing with wireless networks' scalability and performance as their density increases. We require innovative control and administration solutions to address the performance and scalability problems in Wi-Fi networks. Scalability and performance problems in wireless networks are thought to be resolved using SDN techniques. Therefore, we used the TCP and UDP protocols to assess Wi-Fi networks on SDN. Using a testbed comprised of Mininet-Wi-Fi and a Ryu Controller, we investigated Wi-Fi over SDN and assessed its functionality and scalability. In a large-scale scenario, we focused on SDN Wi-Fi network controllers. The SDN Wi-Fi controllers were created with the ability to work with SDN infrastructure in mind. This study assesses the scalability and performance of an SDN-based Wi-Fi network controller. We gauge network performance using variables such as bandwidth, round-trip time, and jitter. In order to assess the performance, the SDN-based Wi-Fi controller (Ryu) linked to an increasing number of stations (10, 30, 50, and 100) and access points (1, 2, 3, and 4). The network performance of Ryu, an SDN Wi-Fi network controller, is scalable and stable in an SDN environment, according to experimental results utilizing Mininet-Wi-Fi. Additionally, increasing the hop count lengthens the distance travelled by TCP transmissions. A total of 50 concurrent users can be supported by a single access point at once.  
Future performance analysis of genuine large-scale Low-Power Wide-Area Networks (LPWAN) in SDN networks for the Internet of Things will be included in the planned study's extension. Most SDN studies that have been proposed in the literature do not take SDN Wi-Fi networks into account. However, the ubiquitous use of (LPWAN) networks and their significance for the Internet of Things needs their integration with SDN. We assumed that many Wi-Fi network performance difficulties might be overcome by merging LPWAN networks with SDN controllers.  
Conceptualization, M.A., A.I.J., M.A.A. and R.S.; Data curation, O.I.A., Z.A. and R.S.; Formal analysis, M.A., A.I.J., O.I.A., Z.A., R.M.G. and M.A.A.; Funding acquisition, R.M.G.; Investigation, A.I.J., O.I.A., R.M.G. and M.A.A.; Methodology, M.A., Z.A., M.A. and R.S.; Project administration, Z.A. and R.M.G.; Resources, A.I.J., R.M.G. and R.S.; Software, M.A., A.I.J., O.I.A. and R.S.; Supervision, A.I.J. and Z.A.; Validation, A.I.J.; Visualization, O.I.A., Z.A., R.M.G., M.A.A. and R.S.; Writing--original draft, M.A., Z.A. and R.S.; Writing--review and editing, A.I.J., O.I.A., R.M.G. and M.A.A. All authors have read and agreed to the published version of the manuscript.  
Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R138), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.  
No data were used to support this study. However, any query about the research conducted in this paper is highly appreciated and can be asked from the corresponding authors upon request.  
**Acknowledgments:** The authors appreciate the support from Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R138), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. The authors also thank the support from [PERSON] for English proofreading of the article.  
**Conflicts of Interest:** The authors declare no conflict of interest.