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Special Issue Next-Generation AIoT: Convergence of Artificial Intelligence, Edge Computing, and Advanced IoT Architectures

1. Background and Motivation

The Internet of Things (IoT) has evolved from a network of simple connected sensors into a complex ecosystem generating massive amounts of heterogeneous data. While traditional cloud-centric IoT architectures have served well for data storage and batch processing, they are increasingly struggling to meet the stringent latency, bandwidth, and privacy requirements of emerging real-time applications such as autonomous driving, industrial automation, and smart healthcare.
The integration of Artificial Intelligence (AI) into IoT—often termed AIoT—represents a paradigm shift. By embedding AI capabilities directly into IoT devices and edge nodes, we can move from "connected things" to "intelligent things." This convergence enables real-time decision-making, predictive analytics, and autonomous operations at the network edge.
This Special Issue aims to explore the state-of-the-art in AI-driven IoT systems. We invite contributions that address the challenges of deploying deep learning models on resource-constrained devices, the synergy between IoT and 5G/6G networks, and novel architectures that ensure security and scalability in the era of AIoT. We are particularly interested in works that bridge the gap between theoretical AI algorithms and practical IoT engineering implementations.

2. List of Topics

The Special Issue covers the advancements in artificial intelligence in the field of IoT, tracing its development from statistical learning through discriminative and regression models to generative models. We welcome submissions that explore the application and development of machine learning, deep learning, transfer learning, and generative artificial intelligence approaches. Articles should address algorithmic approaches that are based on data, improving our comprehension in the given domains. The topic of interest includes but not limited to the following:

• Optimization of Deep Neural Networks for microcontrollers and embedded IoT devices.
• Federated Learning in distributed IoT networks for privacy-preserving collaborative training.
• Integration of AI/ML in 5G and 6G-enabled IoT networks.
• Predictive maintenance and zero-defect manufacturing using IoT sensor data.
• Smart City applications: AI-driven traffic flow optimization and energy management.
• Internet of Medical Things (IoMT).
• Adversarial attacks and defenses on IoT-based AI models.
• Human-Robot Collaboration enhanced by computer vision and IoT.


Important Deadlines:

Submission Deadline: 28 February 2027
First editorial decision: Rolling review (typically within 2–4 weeks after submission)
Final acceptance: Rolling acceptance following successful peer review and completion of all required revisions
Special Issue publication: July 2027. Accepted articles will be published online individually as soon as the production process has been completed and will subsequently be assigned to the July 2027 Special Issue.

Guest editor details:

Name: Xu Zheng
Email: xuzheng@sspu.edu.cn
Affiliation: Shanghai Polytechnic University, China
Xu Zheng is currently the professor in Shanghai Polytechnic University, China. He is with over 4500 citations (H-index 33). He has authored or co-authored more than 200 publications including IEEE Trans. On Fuzzy Systems, IEEE Trans. On Automation Science and Engineering, IEEE Trans. On Emerging Topics in Computing, IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Trans. On Cloud Computing, IEEE Trans. on Big Data etc. He serves now as the Editors-in-Chief of Cyber-Physical Systems journal, Editors-in-Chief of International Journal of Information Technology, Communications and Convergence. He is also the associate editor of Springer DIoT journal, and Associate Editor of IET Biometrics journal. He won the Best Editor Award of the year 2022 of Springer journal Discover Internet of Things. His paper titled “Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing” obtained EURASIP Best paper awards 2019.
https://www.researchgate.net/profile/Zheng-Xu-39

Name: Jemal H. Abawajy
Email: jemal.abawajy@deakin.edu.au
Affiliation: Deakin University, Australia
Jemal H. Abawajy is a Full Professor with the School of Information Technology, Faculty of Science, Engineering, and Built Environment, Deakin University, Australia. He is currently the Director of the Parallel and Distributing Computing Laboratory. He is a Senior Member of the IEEE Technical Committee on Scalable Computing, the IEEE Technical Committee on Dependable Computing and Fault Tolerance, and the IEEE Communication Society. His leadership is extensive, spanning industrial, academic, and professional areas. He has served on the Academic Board, Faculty Board, the IEEE Technical Committee on Scalable Computing Performance Track Coordinator, Research Integrity Advisory Group, Research Committee, Teaching and Learning Committee, and Expert of International Standing Grant and External Ph.D. Thesis Assessor. He has delivered over 50 keynote addresses, invited seminars, and media brie?ngs and has been actively involved in the organization of over 200 national and international conferences in various capacity, including Chair, General Co-Chair, Vice-Chair, Best Paper Award Chair, Publication Chair, Session Chair, and Program Committee. He has also served on the editorial-board of numerous international journals and currently serving as an Associate Editor of the IEEE TRANSACTIONS ON CLOUD COMPUTING, International Journal of Big Data Intelligence, and International Journal of Parallel, Emergent and Distributed Systems. Prof. Abawajy has also guest edited many special issues. He is actively involved in funded research supervising large number of Ph.D. students, postdoctoral, research assistants, and visiting scholars in the area of cloud computing, big data, network and system security, decision support system, and e-healthcare. He is the author/co-author of ?ve books, more than 270 papers in conferences, book chapters, and journals, such as the IEEE TRANSACTIONS ON COMPUTERS and the IEEE TRANSACTIONS ON FUZZY SYSTEMS. He also edited 10 conference volumes.
https://experts.deakin.edu.au/709-jemal-h-abawajy