Wireless Power Transfer Technologies for Powering Multiple Sensor Nodes

Author(s):  
Kexue Cui ◽  
Mengfei Chen ◽  
Libo Qian
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 95878-95887
Author(s):  
Bilal Tariq Malik ◽  
Viktor Doychinov ◽  
Ali Mohammad Hayajneh ◽  
Syed Ali Raza Zaidi ◽  
Ian D. Robertson ◽  
...  

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 639 ◽  
Author(s):  
Ahmad Ali ◽  
Yu Ming ◽  
Sagnik Chakraborty ◽  
Saima Iram ◽  
Tapas Si

Present research in the domain of wireless sensor network (WSN) has unearthed that energy restraint of sensor nodes (SNs) encumbers their perpetual performance. Of late, the encroachment in the vicinity of wireless power transfer (WPT) technology has achieved pervasive consideration from both industry and academia to cater the sensor nodes (SNs) letdown in the wireless rechargeable sensor network (WRSNs). The fundamental notion of wireless power transfer is to replenish the energy of sensor nodes using a single or multiple wireless charging devices (WCDs). Herein, we present a jointly optimization model to maximize the charging efficiency and routing restraint of the wireless charging device (WCD). At the outset, we intend an unswerving charging path algorithm to compute the charging path of the wireless charging device. Moreover, Particle swarm optimization (PSO) algorithm has designed with the aid of a virtual clustering technique during the routing process to equilibrate the network lifetime. Herein clustering algorithm, the enduring energy of the sensor nodes is an indispensable parameter meant for the assortment of cluster head (CH). Furthermore, compare the proposed approach to corroborate its pre-eminence over the benchmark algorithm in diverse scenarios. The simulation results divulge that the proposed work is enhanced concerning the network lifetime, charging performance and the enduring energy of the sensor nodes.


Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3330 ◽  
Author(s):  
Abderrahim Okba ◽  
Dominique Henry ◽  
Alexandru Takacs ◽  
Hervé Aubert

This paper addresses the implementation of autonomous radiofrequency identification sensor nodes based on wireless power transfer. For size reduction, a switching method is proposed in order to use the same frequency band for both supplying power to the nodes and wirelessly transmitting the nodes’ data. A rectenna harvests the electromagnetic energy delivered by the dedicated radiofrequency source for charging a few-mF supercapacitor. For supercapacitors of 7 mF, it is shown that the proposed autonomous sensor nodes were able to wirelessly communicate with the reader at 868 MHz for 10 min without interruption for a tag-to-reader separation distance of 1 meter. This result was obtained from effective radiated powers of 2 W during the supercapacitor charging and of 100 mW during the wireless data communication.


2020 ◽  
Vol 10 (6) ◽  
pp. 1721-1726
Author(s):  
Eunseong Moon ◽  
Michael Barrow ◽  
Jongyup Lim ◽  
David Blaauw ◽  
Jamie D. Phillips

Author(s):  
Shusuke Yanagawa ◽  
Ryota Shimizu ◽  
Mototsugu Hamada ◽  
Toru Shimizu ◽  
Tadahiro Kuroda

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2660 ◽  
Author(s):  
Roberto La Rosa ◽  
Patrizia Livreri ◽  
Carlo Trigona ◽  
Loreto Di Donato ◽  
Gino Sorbello

The continuous development of internet of things (IoT) infrastructure and applications is paving the way for advanced and innovative ideas and solutions, some of which are pushing the limits of state-of-the-art technology. The increasing demand for Wireless Sensor Nodes (WSNs) able to collect and transmit data through wireless communication channels, while often positioned in locations that are difficult to access, is driving research into innovative solutions involving energy harvesting (EH) and wireless power transfer (WPT) to eventually allow battery-free sensor nodes. Due to the pervasiveness of radio frequency (RF) energy, RF EH and WPT are key technologies with the potential to power IoT devices and smart sensing architectures involving nodes that need to be wireless, maintenance free, and sufficiently low in cost to promote their use almost anywhere. This paper presents a state-of-the-art, ultra-low power 2.5 μ W highly integrated mixed signal system on chip (SoC), for multi-source energy harvesting and wireless power transfer. It introduces a novel architecture that integrates an ultra-low power intelligent power management, an RF to DC converter with very low power sensitivity and high power conversion efficiency (PCE), an Amplitude-Shift-Keying/Frequency-Shift-Keying (ASK/FSK) receiver and digital circuitry to achieve the advantage to cope, in a versatile way and with minimal use of external components, with the wide variety of energy sources and use cases. Diverse methods for powering Wireless Sensor Nodes through energy harvesting and wireless power transfer are implemented providing related system architectures and experimental results.


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