Effective Software-Defined Internet-of-Things (SD-IoT) Leveraging AI, 5G and NFV—2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 325
Special Issue Editors
Interests: software-defined networking; quality of service; WSN; IoT; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: graph-based algorithms; topological analysis; pattern recognition and machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
By using controller intelligence and programmability, software-defined networking (SDN) could dynamically and efficiently manage resources in order to provide a wide range of different services. SDN enables network systems to coordinate and estimate available resources, as well as dynamically adapt to the environment to optimize resource consumption. Artificial intelligence and machine learning are proving to be effective methods of increasing the intelligence of SDN controllers. Techniques such as machine learning and artificial intelligence (AI) are useful in network communication because they allow for rapid adaptability. It is possible to efficiently use the SDN controller’s increased intelligence in the context of the software-defined Internet of Things (SD-IoT). A controller trained with powerful AI and machine learning algorithms could improve the supply of end-to-end (E2E) services, security, and resource management in the SD-IoT environment. This Special Issue looks forward to providing the most up-to-date information on state-of-the-art SDN technologies based on machine learning and AI methods, as well as new research findings involving a broad variety of features within intelligent SDN technology for SD-IoT.
This Special Issue’s topics include, but are not limited to, the following:
- Load balancing in SD-IoT;
- Controller placement in SD-IoT;
- Ultra-reliable low-latency-based SD-IoT;
- Artificial intelligence-enabled SD-IoT;
- Security and reliability in SD-IoT;
- Leveraging NFV in SD-IoT;
- MEC-based efficient solutions in SD-IoT;
- Machine learning-based SD-IoT;
- Energy-efficient SD-IoT-based solutions;
- Massive machine type communication leveraging 5G in SD-IoT;
- Network slicing in SD-IoT leveraging 5G;
- Named data leveraging SD-IoT;
- DDoS attack detection and prevention mechanisms in SD-IoT;
- Reinforcement learning-based SD-IoT.
Dr. Jehad Ali
Prof. Dr. Hsiao-Chun Wu
Guest Editors
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Keywords
- software-defined networking (SDN)
- IoT
- artificial intelligence
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