Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview
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Abstract (arXiv)
Software defined networking (SDN) represents a promising networking architecture that combines central management and network programmability. SDN separates the control plane from the data plane and moves the network management to a central point, called the controller, that can be programmed and used as the brain of the network. Recently, the research community has showed an increased tendency to benefit from the recent advancements in the artificial intelligence (AI) field to provide learning abilities and better decision making in SDN. In this study, we provide a detailed overview of the recent efforts to include AI in SDN. Our study showed that the research efforts focused on three main sub-fields of AI namely: machine learning, meta-heuristics and fuzzy inference systems. Accordingly, in this work we investigate their different application areas and potential use, as well as the improvements achieved by including AI-based techniques in the SDN paradigm.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Mar 2018.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 2.
3 papers.
- 2021Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learningcited by 0
- 2025Integration of TinyML and LargeML: A Survey of 6G and Beyondcited by 0
- 2025A Threshold-Triggered Deep Q-Network-Based Framework for Self-Healing in Autonomic Software-Defined IIoT-Edge Networkscited by 0
- 2025A Threshold-Triggered Deep Q-Network-Based Framework for Self-Healing in Autonomic Software-Defined IIoT-Edge Networks16 Dec 2025
- 2025Integration of TinyML and LargeML: A Survey of 6G and Beyond20 May 2025
- 2021Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning3 Jan 2021