RF-Powered Low-Energy Sensor Nodes for Predictive Maintenance in Electromagnetically Harsh Industrial Environments

RF-Powered Low-Energy Sensor Nodes for Predictive Maintenance in Electromagnetically Harsh Industrial Environments

This work describes the design, implementation, and validation of a wireless sensor network for predictive maintenance and remote monitoring in metal-rich, electromagnetically harsh environments. Energy is provided wirelessly at 2.45 GHz employing a system of three co-located active antennas designe...

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Bibliographic Details
Main Authors:	Giacomo Paolini, Marco Guermandi, Diego Masotti, Mazen Shanawani, Francesca Benassi, Luca Benini, Alessandra Costanzo
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Sensors
Subjects:	electromagnetically harsh environments far-field wireless power transfer industrial internet of things rectenna wireless sensor networks
Online Access:	https://www.mdpi.com/1424-8220/21/2/386

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