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A Long-Distance RF-Powered Sensor Node with Adaptive Power Management for IoT Applications

We present a self-sustained battery-less multi-sensor platform with RF harvesting capability down to −17 dBm and implementing a standard DASH7 wireless communication interface. The node operates at distances up to 17 m from a 2 W UHF carrier. RF power transfer allows operation when common energy sca...

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Autores principales: Pizzotti, Matteo, Perilli, Luca, del Prete, Massimo, Fabbri, Davide, Canegallo, Roberto, Dini, Michele, Masotti, Diego, Costanzo, Alessandra, Franchi Scarselli, Eleonora, Romani, Aldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579713/
https://www.ncbi.nlm.nih.gov/pubmed/28788084
http://dx.doi.org/10.3390/s17081732
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author Pizzotti, Matteo
Perilli, Luca
del Prete, Massimo
Fabbri, Davide
Canegallo, Roberto
Dini, Michele
Masotti, Diego
Costanzo, Alessandra
Franchi Scarselli, Eleonora
Romani, Aldo
author_facet Pizzotti, Matteo
Perilli, Luca
del Prete, Massimo
Fabbri, Davide
Canegallo, Roberto
Dini, Michele
Masotti, Diego
Costanzo, Alessandra
Franchi Scarselli, Eleonora
Romani, Aldo
author_sort Pizzotti, Matteo
collection PubMed
description We present a self-sustained battery-less multi-sensor platform with RF harvesting capability down to −17 dBm and implementing a standard DASH7 wireless communication interface. The node operates at distances up to 17 m from a 2 W UHF carrier. RF power transfer allows operation when common energy scavenging sources (e.g., sun, heat, etc.) are not available, while the DASH7 communication protocol makes it fully compatible with a standard IoT infrastructure. An optimized energy-harvesting module has been designed, including a rectifying antenna (rectenna) and an integrated nano-power DC/DC converter performing maximum-power-point-tracking (MPPT). A nonlinear/electromagnetic co-design procedure is adopted to design the rectenna, which is optimized to operate at ultra-low power levels. An ultra-low power microcontroller controls on-board sensors and wireless protocol, to adapt the power consumption to the available detected power by changing wake-up policies. As a result, adaptive behavior can be observed in the designed platform, to the extent that the transmission data rate is dynamically determined by RF power. Among the novel features of the system, we highlight the use of nano-power energy harvesting, the implementation of specific hardware/software wake-up policies, optimized algorithms for best sampling rate implementation, and adaptive behavior by the node based on the power received.
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spelling pubmed-55797132017-09-06 A Long-Distance RF-Powered Sensor Node with Adaptive Power Management for IoT Applications Pizzotti, Matteo Perilli, Luca del Prete, Massimo Fabbri, Davide Canegallo, Roberto Dini, Michele Masotti, Diego Costanzo, Alessandra Franchi Scarselli, Eleonora Romani, Aldo Sensors (Basel) Article We present a self-sustained battery-less multi-sensor platform with RF harvesting capability down to −17 dBm and implementing a standard DASH7 wireless communication interface. The node operates at distances up to 17 m from a 2 W UHF carrier. RF power transfer allows operation when common energy scavenging sources (e.g., sun, heat, etc.) are not available, while the DASH7 communication protocol makes it fully compatible with a standard IoT infrastructure. An optimized energy-harvesting module has been designed, including a rectifying antenna (rectenna) and an integrated nano-power DC/DC converter performing maximum-power-point-tracking (MPPT). A nonlinear/electromagnetic co-design procedure is adopted to design the rectenna, which is optimized to operate at ultra-low power levels. An ultra-low power microcontroller controls on-board sensors and wireless protocol, to adapt the power consumption to the available detected power by changing wake-up policies. As a result, adaptive behavior can be observed in the designed platform, to the extent that the transmission data rate is dynamically determined by RF power. Among the novel features of the system, we highlight the use of nano-power energy harvesting, the implementation of specific hardware/software wake-up policies, optimized algorithms for best sampling rate implementation, and adaptive behavior by the node based on the power received. MDPI 2017-07-28 /pmc/articles/PMC5579713/ /pubmed/28788084 http://dx.doi.org/10.3390/s17081732 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pizzotti, Matteo
Perilli, Luca
del Prete, Massimo
Fabbri, Davide
Canegallo, Roberto
Dini, Michele
Masotti, Diego
Costanzo, Alessandra
Franchi Scarselli, Eleonora
Romani, Aldo
A Long-Distance RF-Powered Sensor Node with Adaptive Power Management for IoT Applications
title A Long-Distance RF-Powered Sensor Node with Adaptive Power Management for IoT Applications
title_full A Long-Distance RF-Powered Sensor Node with Adaptive Power Management for IoT Applications
title_fullStr A Long-Distance RF-Powered Sensor Node with Adaptive Power Management for IoT Applications
title_full_unstemmed A Long-Distance RF-Powered Sensor Node with Adaptive Power Management for IoT Applications
title_short A Long-Distance RF-Powered Sensor Node with Adaptive Power Management for IoT Applications
title_sort long-distance rf-powered sensor node with adaptive power management for iot applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579713/
https://www.ncbi.nlm.nih.gov/pubmed/28788084
http://dx.doi.org/10.3390/s17081732
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