Call for Papers
Special Issue – AI-Driven SDN-IoT Architectures with Advanced Edge and Fog Computing Integration for Future-Ready Networks
The integration of Software-Defined Networking (SDN) and the Internet of Things (IoT) is revolutionizing network design by enabling highly adaptable and configurable systems that surpass the constraints of traditional hardware. When integrated with IoT and expanded to edge and fog computing paradigms, SDN promotes architectures for intelligent, real-time management of large-scale, heterogeneous networks. There are numerous potential applications for these integrated architectures. From automating corporate operations and improving healthcare services to offering enhanced business intelligence, the combination of SDN, IoT, and fog computing offers the way to disruptive ideas. Despite these opportunities, privacy, security, dependability, interoperability, and management remain key challenges.
AI-powered solutions are a feasible approach to address these difficulties. These designs use machine learning, deep learning, and other AI technologies to achieve adaptive decision-making, efficient resource allocation, and increased network performance. AI-driven SDN-IoT architectures integrated with edge and fog computing enable intelligent decision making, facilitating real-time data processing, and improving network efficiency. These technologies improve scalability, resource allocation, and security in future-ready networks. However, numerous unresolved issues remain, such as maintaining privacy and security in dynamic and diverse settings. Furthermore, the development of novel AI models and the guarantee of seamless interoperability across various IoT devices remain significant challenges.
We are delighted to announce the special topic " AI-Driven SDN-IoT Architectures with Advanced Edge and Fog Computing Integration for Future-Ready Networks," and cordially encourage experts, scholars, and researchers in related fields to participate. Submissions are encouraged to address recent advances, novel ideas, and open challenges in this dynamic and transformative field.
Potential topics include but are not limited to:
- Next-Generation IoT Network Architectures with SDN
- Edge Computing Enhancements for SDN-IoT Interoperability
- Advanced Resource Scheduling Algorithms for SDN-Enabled IoT
- AI-Powered Network Automation in SDN-IoT Frameworks
- Decentralized SDN Control Mechanisms for IoT Scalability
- Dynamic QoS Management for SDN-IoT Applications
- Hybrid Fog and Edge Architectures for SDN-IoT Integration
- Enhanced Communication Protocols for Edge-Driven SDN-IoT
- Real-Time Network Analytics Using AI in SDN-IoT Systems
- Energy-Efficient IoT Networking Through SDN Optimization
- Blockchain for Secure Data Transactions in SDN-IoT Networks
- Adaptive AI Algorithms for Fault-Tolerant IoT Networks
- Collaborative Learning Models in Distributed SDN-IoT Systems
- Federated AI Systems for Privacy in SDN-IoT Frameworks
- Multi-Layered Security Models for Complex IoT-SDN Networks
 |
Manjit Kaur Professor, School of Computer Science and Artificial Intelligence, SR University, Warangal, India |
 |
Vijay Kumar Associate Professor, Department of Information Technology, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India. |
 |
Pramod Gaur Senior Lecturer, Department of Computer Science, Nottinggam Trent University, Nottingham, U.K. |
Submission Deadlines:
Manuscript Submission Deadline: 30.06.2025
Authors Notification: 30.09.2025
Revised Papers Due: 11.11.2025