TY - GEN
T1 - UAV-assisted Efficient Far-field Wireless Charging for WSN
AU - Zhang, Liyu
AU - Liu, Xilong
AU - Ansari, Nirwan
N1 - Funding Information:
VII. ACKNOWLEDGEMENT This work was supported in part by the NSFC under Grant 62002312.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - A wireless sensor network's (WSN's) uptime is highly depended on the lifespans of its wireless sensor nodes (SNs). However, the battery of an SN sometimes may not be easy to be replaced owing to circumstantial constraints. Nowadays, the far-field wireless power transmission (WPT) has attracted more attention from industry and academy. Many researchers have proposed to utilize the WPT technology to remotely charge the SNs. As unmanned aerial vehicle (UAV) can fly close to the SNs located in some hard-to-reach areas, in this work, a UAV is adopted to assist the green base station (GBS) to efficiently power the SNs which are far away from the GBS. Considering the limited energy carried by the UAV and the UAV's energy consumption, we propose a novel UAV comprehensive charging strategy to efficiently power the WSN and to enable all the SNs to be charged with considerable energy replenishment. The simulation results validate our proposed strategy can effectively extend the WSN's uptime.
AB - A wireless sensor network's (WSN's) uptime is highly depended on the lifespans of its wireless sensor nodes (SNs). However, the battery of an SN sometimes may not be easy to be replaced owing to circumstantial constraints. Nowadays, the far-field wireless power transmission (WPT) has attracted more attention from industry and academy. Many researchers have proposed to utilize the WPT technology to remotely charge the SNs. As unmanned aerial vehicle (UAV) can fly close to the SNs located in some hard-to-reach areas, in this work, a UAV is adopted to assist the green base station (GBS) to efficiently power the SNs which are far away from the GBS. Considering the limited energy carried by the UAV and the UAV's energy consumption, we propose a novel UAV comprehensive charging strategy to efficiently power the WSN and to enable all the SNs to be charged with considerable energy replenishment. The simulation results validate our proposed strategy can effectively extend the WSN's uptime.
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U2 - 10.1109/GLOBECOM48099.2022.10001113
DO - 10.1109/GLOBECOM48099.2022.10001113
M3 - Conference contribution
AN - SCOPUS:85146916719
T3 - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
SP - 1734
EP - 1739
BT - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Global Communications Conference, GLOBECOM 2022
Y2 - 4 December 2022 through 8 December 2022
ER -