Unmanned Aerial Vehicle-Based Wireless Charging of Sensor Networks

2016 ◽  
pp. 433-464 ◽  
Author(s):  
Carrick Detweiler ◽  
Michael Eiskamp ◽  
Brent Griffin ◽  
Jennifer Johnson ◽  
Jinfu Leng ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Unmanned Aerial Vehicle ◽  
Wireless Charging ◽  
Aerial Vehicle

Minimizing the number of wireless charging PAD for unmanned aerial vehicle–based wireless rechargeable sensor networks

2021 ◽  
Vol 17 (12) ◽  
pp. 155014772110559
Author(s):  
Yingjue Chen ◽  
Yingnan Gu ◽  
Panfeng Li ◽  
Feng Lin
Keyword(s):  
Sensor Networks ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Large Scale ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Charging ◽  
Aerial Vehicles ◽  
Wireless Rechargeable Sensor Networks ◽  
Aerial Vehicle

In wireless rechargeable sensor networks, most researchers address energy scarcity by introducing one or multiple ground mobile vehicles to recharge energy-hungry sensor nodes. The charging efficiency is limited by the moving speed of ground chargers and rough environments, especially in large-scale or challenging scenarios. To address the limitations, researchers consider replacing ground mobile chargers with lightweight unmanned aerial vehicles to support large-scale scenarios because of the unmanned aerial vehicle moving at a higher speed without geographical limitation. Moreover, multiple automatic landing wireless charging PADs are deployed to recharge unmanned aerial vehicles automatically. In this work, we investigate the problem of introducing the minimal number of PADs in unmanned aerial vehicle–based wireless rechargeable sensor networks. We propose a novel PAD deployment scheme named clustering-with-double-constraints and disks-shift-combining that can adapt to arbitrary locations of the base station, arbitrary geographic distributions of sensor nodes, and arbitrary sizes of network areas. In the proposed scheme, we first obtain an initial PAD deployment solution by clustering nodes in geographic locations. Then, we propose a center shift combining algorithm to optimize this solution by shifting the location of PADs and attempting to merge the adjacent PADs. The simulation results show that compared to existing algorithms, our scheme can charge the network with fewer PADs.

scholarly journals Design and Optimization of Coupling Coils for Bidirectional Wireless Charging System of Unmanned Aerial Vehicle

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1964
Author(s):  
Yang Li ◽  
Xin Ni ◽  
Jiaming Liu ◽  
Rui Wang ◽  
Jingnan Ma ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Lightweight Design ◽  
Wireless Charging ◽  
Power Transfer ◽  
Design And Optimization ◽  
Charging System ◽  
Transmission Distance ◽  
System A ◽  
Power Transfer Efficiency ◽  
Aerial Vehicle

To solve the battery power supply problem with wireless sensor networks (WSNs), a novel bidirectional wireless charging system is proposed, in which an unmanned aerial vehicle (UAV) can fly to the WSNs to charge sensors through high-frequency wireless power transfer (WPT) and also obtain energy for its own battery in the same way. To improve the performance of the UAV bidirectional wireless charging system, a lightweight design is adopted to increase its loading capacity and working time. Moreover, the radii and the numbers of turns and pitches of coupling coils were designed and optimized on the basis of simulations and experiments. Experimental results show that the weight of optimized UAV coil was reduced by 34.45%. The power transfer efficiency (PTE) of the UAV coil to sensor coil increased from 60.2% to 74.4% at a transmission distance of 15 cm, while that of the ground transmitting coil to UAV coil increased from 65.2% to 90.1% at 10 cm.

scholarly journals Capacity of Unmanned Aerial Vehicle Assisted Data Collection in Wireless Sensor Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 162819-162829
Author(s):  
Zhiqing Wei ◽  
Qian Chen ◽  
Shuhang Liu ◽  
Huici Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Unmanned Aerial Vehicle ◽  
Wireless Sensor ◽  
Aerial Vehicle

An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle

2014 ◽  
Vol 21 (2) ◽  
pp. 485-498 ◽  
Author(s):  
Leandro A. Villas ◽  
Daniel L. Guidoni ◽  
Guilherme Maia ◽  
Richard W. Pazzi ◽  
Jó Ueyama ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Unmanned Aerial Vehicle ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Aerial Vehicle

Minimizing data collection latency with unmanned aerial vehicle in wireless sensor networks

2019 ◽  
Vol 38 (4) ◽  
pp. 1019-1042
Author(s):  
Chuanwen Luo ◽  
Yongcai Wang ◽  
Yi Hong ◽  
Wenping Chen ◽  
Xingjian Ding ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Unmanned Aerial Vehicle ◽  
Wireless Sensor ◽  
Aerial Vehicle
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