IoT Sensing and Generalization
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 18
Special Issue Editors
Interests: mobile computing; wireless sensing; IoT security; artificial intelligence
Interests: AIoT; human-centric smart sensing
Special Issues, Collections and Topics in MDPI journals
Interests: AIoT; multimodal machine learning; intelligent decision
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; deep learning; sensors; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
IoT sensing technologies (e.g., millimeter-wave radar, Wi-Fi, UWB, RFID, acoustic, and 5G/6G signals) have revolutionized environmental and human activity perception by leveraging ubiquitous electromagnetic signals as sensing media.
Despite rapid advancements, the capability for generalization remains a critical bottleneck for IoT sensing systems. Environmental dynamics (e.g., layout changes, multipath interference) and human variability (e.g., posture, motion patterns) often degrade sensing accuracy, limiting real-world deployment.
This Special Issue seeks to address these challenges by soliciting research on the following topics:
- Synthetic data generation;
- Self-supervised learning;
- Generalizable representation learning;
- Continuous learning;
- Wireless sensing with LLMs;
- Cross-domain adaptation;
- Multimodal wireless sensing;
- Explainable wireless sensing;
- Novel applications;
- Integrated sensing and communication.
We look forward to receiving your contributions.
Dr. Jianwei Liu
Dr. Han Ding
Dr. Ge Wang
Dr. Fei Wang
Guest Editors
Manuscript Submission Information
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Keywords
- wireless sensing
- domain adaption
- cross-domain
- domain generalization
- data generation
- LLM
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