Next Article in Journal
Multi-Pixel Simultaneous Classification of PolSAR Image Using Convolutional Neural Networks
Next Article in Special Issue
Forward Behavioral Modeling of a Three-Way Amplitude Modulator-Based Transmitter Using an Augmented Memory Polynomial
Previous Article in Journal
Conductometric Sensor for PAH Detection with Molecularly Imprinted Polymer as Recognition Layer
Previous Article in Special Issue
Three-Level De-Multiplexed Dual-Branch Complex Delta-Sigma Transmitter
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(3), 768; doi:10.3390/s18030768

Medium and Short Wave RF Energy Harvester for Powering Wireless Sensor Networks

Advanced Materials Research Center S. C. -Monterrey, Alianza Norte # 202, Autopista Monterrey-Aeropuerto Km.10., C.P. 66600 Apodaca, Nuevo León, Mexico
Genes-Group of Embedded Nanomaterials for Energy Scavenging, CIMAV-Unidad Monterrey, C.P. 66600 Apodaca, Nuevo León, Mexico
Author to whom correspondence should be addressed.
Received: 10 November 2017 / Revised: 22 January 2018 / Accepted: 24 January 2018 / Published: 3 March 2018
View Full-Text   |   Download PDF [6036 KB, uploaded 3 March 2018]   |  


Internet of Things (IoT) is an emerging platform in which every day physical objects provided with unique identifiers are connected to the Internet without requiring human interaction. The possibilities of such a connected world enables new forms of automation to make our lives easier and safer. Evidently, in order to keep billions of these communicating devices powered long-term, a self-sustainable operation is a key point for realization of such a complex network. In this sense, energy-harvesting technologies combined with low power consumption ICs eliminate the need for batteries, removing an obstacle to the success of the IoT. In this work, a Radio Frequency (RF) energy harvester tuned at AM broadcast has been developed for low consumption power devices. The AM signals from ambient are detected via a high-performance antenna-free LC circuit with an efficiency of 3.2%. To maximize energy scavenging, the RF-DC conversion stage is based on a full-wave Cockcroft–Walton voltage multiplier (CWVM) with efficiency up to 90%. System performance is evaluated by rating the maximum power delivered into the load via its output impedance, which is around 62 μW, although power level seems to be low, it is able to power up low consumption devices such as Leds, portable calculators and weather monitoring stations. View Full-Text
Keywords: Internet of Things; RF energy scavenging; AM waves detection; full wave Cockcroft–Walton multiplier Internet of Things; RF energy scavenging; AM waves detection; full wave Cockcroft–Walton multiplier

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Leon-Gil, J.A.; Cortes-Loredo, A.; Fabian-Mijangos, A.; Martinez-Flores, J.J.; Tovar-Padilla, M.; Cardona-Castro, M.A.; Morales-Sánchez, A.; Alvarez-Quintana, J. Medium and Short Wave RF Energy Harvester for Powering Wireless Sensor Networks. Sensors 2018, 18, 768.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top