IoT | Special Issues

IoT publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process. The journal’s Editor-in-Chief and/or designated Editorial Board Member will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. Further information on MDPI's Special Issue policies and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Advances in IoT and Machine Learning for Smart Homes

edited by

Tareq Hasan Khan

submission deadline 31 Aug 2025 | 3 articles | Viewed by 10497 | Submission Open

Keywords: Internet of Things (IoT) smart home automation machine learning in IoT embedded systems for home automation real-time data processing energy-efficient IoT solutions home security and privacy intelligent health monitoring adaptive smart environments deep learning in IoT

IoT and Distributed Computing

edited by Xianzhong Ding and Kang Yang

submission deadline 31 Aug 2025 | 1 articles | Viewed by 925 | Submission Open

Keywords: IoT; distributed computing; edge computing; cyber-physical systems; AI-driven IoT; smart systems; high-performance computing; network security; energy-efficient IoT; reinforcement learning

Advances in Distributed Learning and Optimization over Networks: Techniques, Algorithms, and Applications

edited by

Gang Yan

, Kang Yang and Guojun Xiong

submission deadline 30 Sep 2025 | Viewed by 238 | Submission Open

Keywords: distributed learning; federated learning; networking systems; IoT applications; cloud computing; optimization algorithms

IoT Meets AI: Driving the Next Generation of Technology

edited by

Grigorios E. Koulouras

submission deadline 31 Oct 2025 | 1 articles | Viewed by 760 | Submission Open

Keywords: Internet of Things (IoT); federated learning (FL); decentralized AI; machine learning for resource-constrained devices; generative AI; blockchain for IoT; leveraging LLMs for IoT; edge/fog/cloud computing; BLE; LoRa; LoRaWAN; IoT protocols; security; trust; privacy; IoT platforms; Industry 4.0; ethical AI

Cybersecurity in the Age of the Internet of Things

edited by Firoz Khan

submission deadline 30 Nov 2025 | Viewed by 223 | Submission Open

Keywords: IoT security; cyber threat intelligence; AI and machine learning in cybersecurity; blockchain for IoT security; privacy-preserving IoT solutions; secure IoT architectures; intrusion detection systems for IoT; 5G and IoT security; edge computing security; regulatory and policy challenges in IoT security

Blockchain-Based Trusted IoT

edited by Shahriar Kaisar, Abebe Diro and

Abdullahi Chowdhury

submission deadline 15 Dec 2025 | 2 articles | Viewed by 2848 | Submission Open

Keywords: Internet-of-Things (IoT); trust management; smart contracts; decentralized identity

AIoT-Enabled Sustainable Smart Manufacturing

edited by Mohammad Shahin

submission deadline 31 Jan 2026 | Viewed by 120 | Submission Open

Keywords: AIoT integration; sustainable smart factory; optimization & resource allocation; digital twin technology; maintenance strategies; edge computing; green supply chain management; energy-efficient manufacturing; machine learning for quality control; defect detection

IoT-Driven Smart Cities

edited by

Hakilo Sabit

and

Peter Han Joo Chong

submission deadline 15 Feb 2026 | 1 articles | Viewed by 2781 | Submission Open

Keywords: smart cities; Internet of Things (IoT); smart urban planning; intelligent transportation systems; cybersecurity and privacy; blockchain in smart cities; 5G and beyond; artificial intelligence (AI) and big data; digital twins; energy efficiency; sustainability; citizen engagement

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