Optimizing RF Energy Harvesting in IoT: A Machine Learning Estimation Considering Polarization Effects
Author:
Affiliation:
1. Antenna and High Frequency Research Centre, Technological University Dublin,Grangegorman,Ireland
2. At Ghent University - imec,IDLab,Department of Information Technology,Ghent,Belgium
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10500901/10500902/10501463.pdf?arnumber=10501463
Reference15 articles.
1. Pro-Energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks
2. A Novel Six-Band Dual CP Rectenna Using Improved Impedance Matching Technique for Ambient RF Energy Harvesting
3. A Review on Antenna Technologies for Ambient RF Energy Harvesting and Wireless Power Transfer: Designs, Challenges and Applications
4. A Comprehensive Survey on RF Energy Harvesting: Applications and Performance Determinants
5. RF energy harvesting systems: An overview and design issues
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