Wireless Vibration Sensing Without a Battery

2012 ◽  
Author(s):  
Haiying Huang ◽  
Yayu Hew
Keyword(s):  
Energy Harvesting ◽  
Power Consumption ◽  
Low Power ◽  
Strain Gauge ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Wireless Sensor Node ◽  
Signal Modulation ◽  
Ultra Low Power

This paper presents the implementation and characterization of a low power wireless vibration sensor that can be powered by a flash light. The wireless system consists of two components, namely the wireless sensor node and the wireless interrogation unit. The wireless sensor node includes a wireless strain gauge that consumes around 6 mW, a signal modulation circuit, and a light energy harvesting unit. To achieve ultra-low power consumption, the signal modulation circuit was implemented using a voltage-controlled oscillator (VCO) to convert the strain gauge output to an intermediate frequency (IF) signal, which is then used to alter the impedance of the sensor antenna and thus achieves amplitude modulation of the backscattered antenna signal. A generic solar panel with energy harvesting circuit is used to power the strain sensor node continuously. The wireless interrogation unit transmits the interrogation signal and receives the amplitude modulated antenna backscattering, which can be down-converted to recover the IF signal. In order to measure the strains dynamically, a Phase Lock Loop (PLL) circuit was implemented at the interrogator to track the frequency of the IF signal and provide a signal that is directly proportional to the measured strain. The system features ultra-low power consumption, complete wireless sensing, solar powering, and portability. The application of this low power wireless strain system for vibration measurement is demonstrated and characterized.

The Improvement of the Circuit of Low Power in Yellow River Diversion Project

2013 ◽  
Vol 734-737 ◽  
pp. 2592-2597
Author(s):  
Hui Ping Li ◽  
Tao Lv ◽  
Fu Chang Ma
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Wireless Sensors ◽  
Sensor Node ◽  
Yellow River ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
The Yellow River ◽  
Wireless Sensor Node ◽  
River Diversion

The applications of wireless sensor are the hot topic in the current research of the Yellow River Diversion Project. The realization of low-power wireless sensor is not only an focal point in the study of wireless sensor, but also one of the difficulties in the study of measuring and controlling technology. In the Yellow River Diversion Project, the low power consumption of wireless sensor node circuit has been a drawback of high cost and low accuracy. In this article, we use the improved circuit of wireless sensor node to achieve low power consumption. According to comparing with the traditional low-power circuit, we pointed out its advanttages and disadvantages. Joining negative feedback in the particular experimental circuit, the related data which had been acquired was compared, then the conclusions of the lower power consumption was obtained. In order to reducing the power loss, we could add the appropriate feedback resistor after analyzing the table.Therefore, wireless sensors are important in the Yellow River Diversion Project. The reasonable use of wireless sensors will develop the water conservancy effectivly.

scholarly journals A Self-Powered PMFC-Based Wireless Sensor Node for Smart City Applications

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Daniel Ayala-Ruiz ◽  
Alejandro Castillo Atoche ◽  
Erica Ruiz-Ibarra ◽  
Edith Osorio de la Rosa ◽  
Javier Vázquez Castillo
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Sensor Node ◽  
Smart Cities ◽  
Cloud Services ◽  
Environmental Data ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
Ultra Low Power ◽  
Self Powered

Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryless operation of the SN providing power supply to the sensor network. The low-power communication feature of the SN network is used to monitor the environmental data with a dynamic power management strategy successfully designed for the PMFC-based LoRa sensor node. Environmental data of ozone (O3) and carbon dioxide (CO2) are monitored in real time through a web application providing IoT cloud services with security and privacy protocols.

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.

An Electro-Magnetic Energy Harvesting System With 190 nW Idle Mode Power Consumption for a BAW Based Wireless Sensor Node

2011 ◽  
Vol 46 (7) ◽  
pp. 1728-1741 ◽  
Author(s):  
Hannes Reinisch ◽  
Stefan Gruber ◽  
Hartwig Unterassinger ◽  
Martin Wiessflecker ◽  
Günter Hofer ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Power Consumption ◽  
Sensor Node ◽  
Magnetic Energy ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Idle Mode ◽  
Energy Harvesting System ◽  
Electro Magnetic

scholarly journals Development of an Energy-Aware Algorithm for Low Power Wireless Sensor Node Powered by Dual Energy Harvesting Sources

2019 ◽  
Vol 8 (2S6) ◽  
pp. 797-802
Keyword(s):  
Energy Harvesting ◽  
Power Consumption ◽  
Sensor Node ◽  
Dual Energy ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Energy Aware ◽  
Management Algorithm ◽  
Event Trigger ◽  
Self Powered

A novel self-powered wireless sensor node is proposed and prototyped to overcome the ambient energy lacking in the dual energy harvesting sources by including a secondary energy storage. Moreover, an energy-aware Event-Priority-Driven Dissemination (EPDD) management algorithm has been developed and implemented to control the WSN integrity and reducing the sensor node power consumption as well. EPDD was developed to manage the sensor node operation and to make the sink station able to detect a missing wireless node within the network, which will guarantee the nodes integrity detection. The evaluations revealed that the EPDD shows a good performance in reducing the node power consumption compared to the data push algorithm, whereby, EPDD node was operating 4 hours more than the data push node on the same power source. Regarding the WSN integrity, the EPDD algorithm outpaced the event trigger algorithm, whereby, the EPDD was easily able to detect a node down within the WSN at the contrary of the event trigger.

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