TY - JOUR
T1 - Innovative battery-free wireless piezoresistive sensor for green-IoT applications
AU - Costanza, Mario
AU - Laaraibi, Abdo Rahmane Anas
AU - Pagano, Antonino
AU - Jodin, Gurvan
AU - Razan, Florence
AU - Tinnirello, Ilenia
AU - Margueron, Samuel
AU - Rosa, Roberto La
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2025/3
Y1 - 2025/3
N2 - This paper unveils an innovative wireless piezoresistive sensor designed to operate autonomously without batteries, addressing the critical challenge of energy sustainability in Internet of Things (IoT) applications. Traditional sensor systems often rely on batteries, which pose significant limitations in maintenance, environmental impact, and operational lifespan. Our proposed solution integrates an energy-harvesting system that efficiently converts ambient light into electrical energy, enabling continuous operation in various environments. The findings demonstrate that the developed sensor exhibits high sensitivity and accuracy in measuring mechanical strain, with a coefficient of determination (r2) of 0.99 and a root mean square error (RMSE) of 1.17 N, making it suitable for real-time monitoring applications. The integration of Time Domain to Digital Conversion (TDDC) technology significantly reduces power consumption by eliminating the need for conventional analog-to-digital converters, thus enhancing the overall energy efficiency of the wireless sensor network (WSN). The contributions of this work are multifaceted: we present the first demonstration of TDDC for force and resistive measurements in battery-free sensor nodes, propose a mathematical model for resistance to time domain digital conversion, and develop two calibration methods tailored for force and resistance measurements. These innovations advance the field of green wireless sensor technologies and pave the way for scalable and sustainable IoT solutions. The implications of this research extend to various applications, including structural health monitoring, industrial condition monitoring, and environmental sensing, where long-term data collection is essential for proactive maintenance and fault detection.
AB - This paper unveils an innovative wireless piezoresistive sensor designed to operate autonomously without batteries, addressing the critical challenge of energy sustainability in Internet of Things (IoT) applications. Traditional sensor systems often rely on batteries, which pose significant limitations in maintenance, environmental impact, and operational lifespan. Our proposed solution integrates an energy-harvesting system that efficiently converts ambient light into electrical energy, enabling continuous operation in various environments. The findings demonstrate that the developed sensor exhibits high sensitivity and accuracy in measuring mechanical strain, with a coefficient of determination (r2) of 0.99 and a root mean square error (RMSE) of 1.17 N, making it suitable for real-time monitoring applications. The integration of Time Domain to Digital Conversion (TDDC) technology significantly reduces power consumption by eliminating the need for conventional analog-to-digital converters, thus enhancing the overall energy efficiency of the wireless sensor network (WSN). The contributions of this work are multifaceted: we present the first demonstration of TDDC for force and resistive measurements in battery-free sensor nodes, propose a mathematical model for resistance to time domain digital conversion, and develop two calibration methods tailored for force and resistance measurements. These innovations advance the field of green wireless sensor technologies and pave the way for scalable and sustainable IoT solutions. The implications of this research extend to various applications, including structural health monitoring, industrial condition monitoring, and environmental sensing, where long-term data collection is essential for proactive maintenance and fault detection.
KW - Battery-free
KW - Bluetooth Low Energy
KW - Energy harvesting
KW - Internet of Things (IoT)
KW - Mechanical strain sensor
KW - Time Domain to Digital Conversion
KW - Wireless sensor network
KW - Wireless sensor node
UR - https://www.scopus.com/pages/publications/85214198512
U2 - 10.1016/j.iot.2024.101483
DO - 10.1016/j.iot.2024.101483
M3 - Article
AN - SCOPUS:85214198512
SN - 2542-6605
VL - 30
JO - Internet of Things (The Netherlands)
JF - Internet of Things (The Netherlands)
M1 - 101483
ER -