AIoT-Enabled Sustainable Smart Manufacturing

Dear Colleagues,

As a foundational pillar of technological innovation, the Internet of Things (IoT) is undergoing a profound transformation, driven by advancements in artificial intelligence, evolving societal demands, and an intensified focus on sustainability. Central to this evolution is the emergence of the Artificial Internet of Things (AIoT), a paradigm that integrates Artificial Intelligence (AI) capabilities into IoT ecosystems to foster intelligent, adaptive, and autonomous systems across diverse application domains. The emergence of Industry 4.0 and the progression towards Industry 5.0 have catalyzed a convergence of digitalization, automation, smart sensing, and real-time data analytics, with AI serving as a core enabler enhancing the traditional functionalities of IoT networks.

The integration of AI into IoT environments has significantly advanced system intelligence, operational efficiency, and contextual adaptability. AI-driven methodologies such as machine learning, deep learning, federated learning, predictive analytics, and autonomous decision-making frameworks are being actively incorporated into IoT systems to reshape conventional processes. These innovations empower IoT devices to perform real-time analytics, optimize resource allocation, enhance decision-making, and deliver predictive and prescriptive insights without extensive human intervention. Moreover, AIoT plays a critical role in addressing sustainability imperatives, enabling intelligent energy management, environmental monitoring, resource optimization, and sustainable infrastructure development by leveraging AI-powered sensing and actuation.

This Special Issue on IoT seeks to explore and present cutting-edge research on the integration of Artificial Intelligence within IoT systems, focusing on the critical role that AI plays in shaping the future of interconnected technologies. We invite contributions that offer novel insights into AIoT architectures, algorithms, applications, and frameworks, fostering a deeper understanding of how AI transforms traditional IoT ecosystems into intelligent, autonomous networks. The overarching aim is to compile a comprehensive collection of original research articles and review papers that not only highlight theoretical and practical advances but also illustrate the potential of AIoT to promote sustainability, resilience, and efficiency across sectors. All submissions will undergo a rigorous, anonymous peer-review process, with accepted papers disseminated through MDPI’s open access platform to ensure broad visibility and impactful knowledge sharing. Relevant topics include, but are not limited to, the following:

• AIoT for smart manufacturing and Industry 4.0/5.0;
• Predictive maintenance and condition monitoring via AIoT;
• Edge AI and distributed intelligence in Industrial IoT (IIoT);
• Cyber–physical systems and AIoT for industrial automation;
• AI-enabled supply chain management and logistics through IoT;
• Energy management and sustainability in Industrial IoT systems;
• Industrial robotics and collaborative AIoT systems (Cobots);
• AIoT-based quality assurance and defect detection in manufacturing;
• Industrial cybersecurity for AIoT systems;
• AIoT for process optimization in chemical, pharmaceutical, and energy industries;
• AI-driven human–machine collaboration in industrial environments;
• Smart grid integration and industrial energy distribution using AIoT;
• Real-time asset tracking and resource allocation through AIoT in factories;
• AIoT for waste reduction and green manufacturing;
• Reliability, fault tolerance, and resilient design in Industrial AIoT networks;
• Smart ports and AIoT in maritime logistics;
• Self-optimizing industrial networks via AIoT.

Dr. Mohammad Shahin
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. IoT is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• 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