Implementation of RF Energy Harvesting Circuit for Wireless Charging of IoT Sensor Nodes

2019 ◽  
Vol 44 (4) ◽  
pp. 755-758
Author(s):  
Kyeongjun Choi ◽  
Seyeong Choi ◽  
Janghoon Oh
Keyword(s):  
Energy Harvesting ◽  
Sensor Nodes ◽  
Wireless Charging ◽  
Rf Energy Harvesting ◽  
Rf Energy

Design and Implementation of a Dual-Band Rectifier Antenna for Efficient RF Energy Harvesting in Wireless Sensor Networks

2018 ◽  
Vol 28 (02) ◽  
pp. 1950034 ◽  
Author(s):  
Asmita Rajawat ◽  
P. K. Singhal
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Dual Band ◽  
Slot Antenna ◽  
Design System ◽  
Rf Energy Harvesting ◽  
Rf Energy

Wireless sensor networks (WSN) have observed an exponential amount of growth in the recent past. The energy associated with the sensor nodes is limited which is a major bottleneck for the WSN technologies. The sensor nodes in WSN need to be continuously charged and thus an efficient RF energy harvesting needs to be explored. In the proposed design, a dual-band rectifier antenna for RF energy harvesting has been developed for 900 MHz and 2.45 GHz frequencies as RF energy is mainly available in the range of 900 MHz–2.45 GHz. The antenna proposed is microstrip U slot antenna with S11 parameter below −10 dB at 2.45 GHz and 0.8 GHz with a gain of 5.1 dBi and 10.1 dBi at 900 MHz and 2.45 GHz, respectively. The circuit for the rectifier uses Schottky Diode HSMS-285C for the purpose of rectification. The rectifier circuit used is a Greinacher Voltage Multiplier. Impedance Matching of the rectifier has been processed out to improve the performance of the circuit. Simulations of rectifier have been done on Advanced Design System (ADS) Software. The conversion efficiency at 900 MHz and 2.45 GHz is found to be 78.7% and 51.768%, respectively. The proposed design can find its uses in large number of energy harvesting applications under wireless power transmission such as powering of Wireless Sensor Nodes.

scholarly journals RF Energy Harvesting IoT System for Museum Ambience Control with Deep Learning

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4465 ◽  
Author(s):  
Nermeen A. Eltresy ◽  
Osama M. Dardeer ◽  
Awab Al-Habal ◽  
Esraa Elhariri ◽  
Ali H. Hassan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Energy Harvesting ◽  
Internet Of Things ◽  
Radio Frequency ◽  
Electric Power ◽  
Sensor Nodes ◽  
Monitoring And Control ◽  
Rf Energy Harvesting ◽  
Rf Energy ◽  
And Control

Museum contents are vulnerable to bad ambience conditions and human vandalization. Preserving the contents of museums is a duty towards humanity. In this paper, we develop an Internet of Things (IoT)-based system for museum monitoring and control. The developed system does not only autonomously set the museum ambience to levels that preserve the health of the artifacts and provide alarms upon intended or unintended vandalization attempts, but also allows for remote ambience control through authorized Internet-enabled devices. A key differentiating aspect of the proposed system is the use of always-on and power-hungry sensors for comprehensive and precise museum monitoring, while being powered by harvesting the Radio Frequency (RF) energy freely available within the museum. This contrasts with technologies proposed in the literature, which use RF energy harvesting to power simple IoT sensing devices. We use rectenna arrays that collect RF energy and convert it to electric power to prolong the lifetime of the sensor nodes. Another important feature of the proposed system is the use of deep learning to find daily trends in the collected environment data. Accordingly, the museum ambience is further optimized, and the system becomes more resilient to faults in the sensed data.

Enhancing RF-to-DC conversion efficiency of wideband RF energy harvesters using multi-tone optimization technique

2014 ◽  
Vol 8 (2) ◽  
pp. 143-153 ◽  
Author(s):  
Véronique Kuhn ◽  
Fabrice Seguin ◽  
Cyril Lahuec ◽  
Christian Person
Keyword(s):  
Energy Harvesting ◽  
Power Density ◽  
Conversion Efficiency ◽  
Impedance Matching ◽  
Optimization Technique ◽  
Base Station ◽  
Sensor Nodes ◽  
Base Stations ◽  
Rf Energy Harvesting ◽  
Rf Energy

In this paper, a 1.8–2.6 GHz wideband rectenna is designed for radio frequency (RF) energy harvesting in the context of wireless sensor nodes (WSN). To assess the feasibility of ambient RF energy harvesting, the power density from RF base stations is analyzed through statistical measurements. Power density measurements are also performed close to Wi-Fi routers. Using these results, a methodology based on impedance matching network adaptation and maximum power transfer is proposed to design the wideband RF harvester. Using this method, three RF bands,i.e.GSM1800, UMTS and WLAN, are covered. The theoretical analysis is confirmed by simulations and measurements. From measurements results, the prototype RF-to-DC conversion efficiency is 15% at −20 dBm from 1.8 to 2.6 GHz. It is shown that with three RF sources in the chosen bands, each emitting at 10 dBm, the RF-to-DC conversion efficiency is 15% better compared to that measured with a single RF source. Finally, 7 µW is harvested at 50 m from a GSM1800 and UMTS base station. This value confirms the RF harvester workability to supply small sensors.

Feasibility of RF energy harvesting for wireless gas sensor nodes

2018 ◽  
Vol 275 ◽  
pp. 37-43 ◽  
Author(s):  
Alexander M. Baranov ◽  
Saba Akbari ◽  
Denis Spirjakin ◽  
Andrey Bragar ◽  
Alexey Karelin
Keyword(s):  
Energy Harvesting ◽  
Gas Sensor ◽  
Sensor Nodes ◽  
Rf Energy Harvesting ◽  
Rf Energy
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