Energy Harvesting and Low-Power Wireless Smart Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 3710
Special Issue Editors
Interests: energy harvest; smart sensors and transducers
Interests: measurement; wireless sensor network; digital signal processing; instrumentation interfaces
Special Issues, Collections and Topics in MDPI journals
Interests: wireless sensor networks; internet of things; distributed control systems
Interests: sensors; signal processing
Interests: instrument; measurement; signal processing; sensors; sensor fusion; embeeded system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Harvesting energy from the smart sensor's environment is an attractive solution. This powering option avoids batteries and the associated work of replacing them, promoting energetic independence. The increasing development of new harvesting technologies contributes to the ability to scavenge energy from various sources and convert it into electrical energy. Energy sources span across various energetic manifestations, such as vibrations, thermal, electromagnetic radiation, chemical or biological. At the same time, the scientific community is researching the efficiency of the energy conversion process, power regulation and storage, maximum power point tracking methods, low power operation, and DC/DC and AC/DC converters. Energy also has a significant impact on smart sensor connectivity. Because of this, low-power network protocols are being proposed, originating new standards ready to be adopted by the industry. Papers targeting these challenges are invited to this Special Issue.
Dr. António Espirito-Santo
Dr. Vincenzo Paciello
Dr. Reza Abrishambaf
Dr. Gustavo Monte
Dr. Marco Carratù
Guest Editors
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Keywords
- energy conversion transducers
- low-power methods and techniques
- maximum power point tracking
- DC/DC and AC/DC converters
- energy storage
- energy harvest in real-world smart sensor applications
- developments and actions related to standardization
- advanced techniques and platforms for development, verification, validation, and
- benchmarking
- low-power sensor signal processing
- challenges and advances of low-power TinyML
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