scholarly journals Autonomous RFID Sensor Node Using a Single ISM Band for Both Wireless Power Transfer and Data Communication

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.

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 ◽  
...  

Measurement ◽  
2017 ◽  
Vol 109 ◽  
pp. 316-325 ◽  
Author(s):  
Shitong Mao ◽  
Hao Wang ◽  
Chunbo Zhu ◽  
Zhi-Hong Mao ◽  
Mingui Sun

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.


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