A Review of Intelligent Self-Powered Sensing Systems Enabling Autonomous AIoT
The rapid development of the Artificial Intelligence of Things (AIoT) has created unprecedented demands for distributed, long-term, and maintenance-free sensing systems. Conventional battery-powered sensors suffer from inherent drawbacks such as limited lifetime, high maintenance costs, and environmental concerns, which hinder large-scale deployment. Self-powered sensing technologies provide a transformative pathway by integrating energy harvesting and sensing into a single platform, thereby eliminating the reliance on external power supplies. This review systematically summarizes the key components of self-powered wireless sensing systems, with a particular focus on different energy harvesting technologies, self-powered sensing technologies, and the latest advances in low-power intelligent computation for diverse application scenarios. The integration of energy harvesting, self-sensing, and intelligent computation will make self-powered wireless sensing systems an inevitable direction for the evolution of AIoT, enabling sustainable, scalable, and intelligent monitoring networks.
Authors
- Tianyi Tang (ORCID: https://orcid.org/0000-0003-1711-7435)
- Huicong Liu (ORCID: https://orcid.org/0000-0003-3651-9114)
- Hangrui Cui
Institutions
- Harbin Institute of Technology (CN)
- Soochow University (CN)
Publication Details
- Journal
- AI Sensors
- Published
- 2025-12-22
- DOI
- https://doi.org/10.3390/aisens2010001
- Citations
- 1
- Primary Topic
- Innovative Energy Harvesting Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.71