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

Autor: Davide Fabbri, Diego Masotti, Eleonora Franchi Scarselli, Luca Perilli, Roberto Canegallo, Aldo Romani, Massimo Del Prete, Alessandra Costanzo, Matteo Pizzotti, Michele Dini
Přispěvatelé: Matteo, Pizzotti, Luca, Perilli, Massimo del, Prete, Davide, Fabbri, Roberto, Canegallo, Michele, Dini, Diego, Masotti, Alessandra, Costanzo, Eleonora Franchi, Scarselli, Aldo, Romani
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Power management
RF power transfer
energy harvesting
Engineering
rectenna
wireless power transfer
02 engineering and technology
rectifying antenna
lcsh:Chemical technology
Biochemistry
Article
Maximum power point tracking
Analytical Chemistry
wireless sensor network
0202 electrical engineering
electronic engineering
information engineering

Electronic engineering
lcsh:TP1-1185
Wireless power transfer
Electrical and Electronic Engineering
wireless sensor networks
Instrumentation
adaptive power management
nano-power DC/DC converter
ultra-low power sensor node
business.industry
Node (networking)
020208 electrical & electronic engineering
RF power amplifier
020206 networking & telecommunications
micro-power circuit
Atomic and Molecular Physics
and Optics

Rectenna
Internet-of-Thing
Sensor node
power management
business
Wireless sensor network
Zdroj: Sensors; Volume 17; Issue 8; Pages: 1732
Sensors, Vol 17, Iss 8, p 1732 (2017)
Sensors (Basel, Switzerland)
ISSN: 1424-8220
DOI: 10.3390/s17081732
Popis: 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.
Databáze: OpenAIRE