Energy Harvesting Wireless Sensors

2008 ◽  
pp. 195-208
Author(s):  
S.W. Arms ◽  
C.P. Townsend ◽  
D.L. Churchill ◽  
M.J. Hamel ◽  
M. Augustin ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Wireless Sensors

scholarly journals Fast Design Space Exploration of Vibration-Based Energy Harvesting Wireless Sensors

2013 ◽  
Vol 13 (11) ◽  
pp. 4393-4401 ◽  
Author(s):  
Tom J. Kazmierski ◽  
Leran Wang ◽  
Geoff V. Merrett ◽  
Bashir M. Al-Hashimi ◽  
Mansour Aloufi
Keyword(s):  
Energy Harvesting ◽  
Wireless Sensors ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration

Design of an enhanced RF energy harvesting system for wireless sensors

2013 ◽  
Author(s):  
Ahmed Al-Khayari ◽  
Hamed Al-Khayari ◽  
Sulaiman Al-Nabhani ◽  
Mohammed M. Bait-Suwailam ◽  
Zia Nadir
Keyword(s):  
Energy Harvesting ◽  
Wireless Sensors ◽  
Rf Energy Harvesting ◽  
Energy Harvesting System ◽  
Rf Energy

Design of energy harvesting wireless sensors using magnetic phase transition

Energy ◽  
2019 ◽  
Vol 180 ◽  
pp. 1001-1007 ◽  
Author(s):  
Yasuki Kansha ◽  
Masanori Ishizuka
Keyword(s):  
Phase Transition ◽  
Energy Harvesting ◽  
Magnetic Phase Transition ◽  
Wireless Sensors ◽  
Magnetic Phase

How Much Energy Needs for Running Energy Harvesting Powered Wireless Sensor Node?

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Fariborz Entezami ◽  
Meiling Zhu ◽  
Christos Politis
Keyword(s):  
Life Cycle ◽  
Energy Harvesting ◽  
Power Consumption ◽  
Wireless Sensors ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Test Bed ◽  
Limited Energy ◽  
Energy Needs

AbstractThere is a big challenge for research and industrial engineers to apply energy harvesting powered wireless sensors for practical applications. This is because wireless sensors is very power hungry while current energy harvesting systems can only harvest very limited energy from the ambient environment. In order for wireless sensors to be operated based on the limited energy harvested, understanding of power consumption of wireless sensors is the first task for implementation of energy harvesting powered wireless sensors systems. In this research an energy consumption model has been introduced for wireless sensor nodes and the power consumption in the life cycle of wireless communication sensors, consisting of JN5148 microcontroller and custom built sensors: a 3-axial accelerometer, a temperature sensor and a light sensor, has been studied. All measurements are based on a custom-built test bed. The power required carrying out a life cycle of wireless sensing and transmission is analysed. This paper describes how to analyse the current consumption of the system in active mode and thus power Consumption for sleeping and deployed sensors mode. The results show how much energy needs to run the energy harvesting powered wireless sensor node with JN5148 microcontroller.

scholarly journals Ultra low power mixer with out-of-band RF energy harvesting for wireless sensor networks applications

2020 ◽  
Vol 40 (1) ◽  
pp. 1-6
Author(s):  
Jie Jin ◽  
Xianming Wu ◽  
Zhijun Li
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Wireless Sensors ◽  
Supply Voltage ◽  
Battery Life ◽  
Ic Design ◽  
Rf Energy Harvesting ◽  
Ultra Low Power ◽  
Rf Energy ◽  
Cmos Rf

An ultra low power mixer with out-of-band radio frequency (RF) energy harvesting suitable for the wireless sensors network (WSN) application is proposed in this paper. The presented mixer is able to harvest the out-of-band RF energy and keep it working in ultra low power condition and extend the battery life of the WSN. The mixer is designed and simulated with Global Foundries ’ 0.18 μ m CMOS RF process, and it operates at 2.4GHz industrial, scientific, and medical (ISM) band. The Cadence IC Design Tools post-layout simulation results demonstrate that the proposed mixer consumes 248 μ W from a 1V supply voltage. Furthermore, the power consumption can be reduced to 120.8 μ W by the out-of-band RF energy harvesting rectifier.

scholarly journals Energy Harvesting From Torsional Vibrations Using a Nonlinear Oscillator

2016 ◽  
Author(s):  
Ben Gunn ◽  
Panagiotis Alevras ◽  
Stephanos Theodossiades
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Wireless Sensors ◽  
Magnetic Levitation ◽  
Electronic Devices ◽  
Excitation Frequency ◽  
Electrical Energy ◽  
Torsional Vibrations ◽  
Ambient Vibrations ◽  
Frequency Spectra

Harvesting ambient energy in a variety of systems and applications is a relatively recent trend, often referred to as Energy Harvesting. This can be typically achieved by harvesting energy (that would otherwise get wasted) through a physical process aiming to convert energy amounts to useful electrical energy. The harvested energy can be thermal, solar, wind, wave or kinetic energy, with the last class mainly referring to harvesting energy from vibrating components or structures. More often these oscillations are error states from the systems’ ideal function and through harvesting this potentially wasted energy could be reclaimed and become useful. Regardless of the generally low power output of the devices designed to harvest energy from vibrations, their use remains an attractive concept, which is mostly attributed to the growing use of modern electronic devices that exploit the low power requirements of semi-conductors. Energy Harvesting applications are often met in situations where a network of essential electronic devices, such as sensors in Structural Health Monitoring or bio-implantable devices, becomes hardly accessible. Harvesting ambient vibrations to power up these devices offers the option to utilize wireless sensors rendering these systems autonomous. Typical cases of systems, where ambient vibrations are ubiquitous are met in automotive and aerospace applications. Besides their potentially adverse impact, the energy carried by vibrating parts could be harvested, such that wireless sensors are powered. In this paper, a concept for harvesting torsional vibrations is proposed, based on a concept that employs magnetic levitation to establish a nonlinear Energy Harvester. Experience has shown that linear harvesters require resonant response to operate, often leading to low performance of the device when the excitation frequency deviates from resonance conditions. This is why harvesters with essential nonlinearity are preferred, since they are able to demonstrate high response levels over wider frequency regions. Herein, the conducted study aims to demonstrate the functionality of this concept for torsional systems. A mathematical model of the coupled nonlinear electromechanical system is established, seeking preliminary estimates of the harvested power. The compelling attribute of this system lies in the dependency of its linear natural frequency on the excitation frequency, which is found to cause multiple response peaks in the corresponding frequency spectra. Moreover, the selection of the static equilibrium of the levitating magnet is found to greatly influence the system’s response.

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