RDCG-Randomized Distributed Cluster Grid Topology for Wireless Power Transfer Technology in Wireless Sensor Network

Author(s):  
Dhurga Devi ◽  
P Meenakshi Devi
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Tansheng Li ◽  
Kikuzo Sawada ◽  
Harutoshi Ogai ◽  
Wa Si

For detecting and measuring health conditions of bridges, wireless sensor networks are used in these days. However, battery life is critically restricting the application and maintenance cost of sensor network systems. To extend life time, a wireless power transfer system at UHF band is introduced to supply the current wireless sensor network. This power transfer system is based on electric wave at 950 MHz. This power transfer system is redesigned for tiny power transmission, including a combination of a rectenna and a Cockcroft-Walton boost converter, battery board, and a control board. Also, current wireless sensor network is redesigned for power transfer system. The working flow of sensor network is modified to bottom-to-top to save power of sensor modules which are the power bottleneck of this sensor system. As a result, the system is able to support a sensor module continuously with received power of −14 dBmW, when the transmitting antenna is 30 dBmW at 10 meters distance.


Author(s):  
F. Nishimura ◽  
Y. Hirai ◽  
A. Kamitani ◽  
A. Tanaka ◽  
F. Utsunomiya ◽  
...  

2016 ◽  
Vol 17 (4) ◽  
pp. 631-646 ◽  
Author(s):  
Ji-Min Kim ◽  
Minseok Han ◽  
Hyung Jin Lim ◽  
Suyoung Yang ◽  
Hoon Sohn

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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