Advances in Intelligent Wireless Sensing and IoT

Dear Colleagues,

Recent advances in wireless communication, edge intelligence, and large-scale Internet of Things (IoT) infrastructures have significantly transformed the way physical environments are sensed, analyzed, and acted upon. Intelligent wireless sensing, combining AI-driven signal processing, device cooperation, distributed learning, and semantic-level communication, has emerged as a key enabling technology for next‐generation IoT applications, including smart healthcare, environmental monitoring, industrial automation, and resilient urban systems.

The purpose of this Special Issue is to present cutting-edge research that addresses the growing demand for intelligent, adaptive, and trustworthy wireless sensing solutions within large-scale IoT ecosystems. We aim to bring together interdisciplinary contributions from wireless communications, machine learning, sensing theory, embedded systems, and cyber-physical security. Compared to the existing literature, which focuses mainly on communication efficiency, standalone sensing algorithms, or hardware-centric IoT solutions, this Special Issue will highlight cross-layer, cross-domain, and intelligence-driven approaches that tightly integrate sensing, communication, and computation.

This Special Issue focuses on emerging paradigms that enhance wireless sensing and IoT systems through intelligence, including the following areas:

• AI-empowered wireless perception and channel learning;
• Semantic, goal-oriented, and task-driven communication;
• Edge-native intelligence and distributed model training;
• Collaborative sensing across heterogeneous IoT devices;
• Secure, privacy-preserving, and resilient sensing in adversarial environments.

This Special Issue welcomes contributions from, but not limited to, the following domains:

• Intelligent wireless sensing and ambient perception;
• Integrated sensing and communication (ISAC) systems;
• Edge/fog computing for low-latency IoT inference;
• Federated, distributed, and continual learning for IoT;
• Green and energy-efficient sensing architectures;
• 5G/6G-enabled IoT platforms and applications;
• RF, mmWave, THz sensing for smart environments;
• IoT security, anomaly detection, and privacy mechanisms;
• Human-centric wireless sensing and behavior analysis.

The purpose of this Special Issue is to

• Provide a centralized venue for emerging research on intelligent wireless sensing and AI-driven IoT;
• Encourage cross-disciplinary solutions integrating communication, sensing, learning, and security;
• Promote innovative methodologies that transform raw wireless signals into actionable intelligence;
• Advance the development of scalable, trustworthy, and sustainable IoT infrastructures for society.

While the existing literature has individually explored wireless sensing, IoT architectures, and AI-based signal processing, research that holistically integrates intelligence across the sensing–communication–computing chain remains limited. Conventional IoT studies often prioritize connectivity, while classical sensing approaches do not fully exploit joint learning or network-level cooperation.

Dr. Jingyi He
Dr. Jiabao Wen
Dr. Meng Xi
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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 1400 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.