TY - GEN
T1 - UAV Based Wireless Charging of Sensor Networks Without Prior Knowledge
AU - Najeeb, Najeeb W.
AU - Detweiler, Carrick
N1 - Funding Information:
This work was partially supported by the United States Department of Agriculture - National Institute of Food and Agriculture USDA-NIFA 2017-67021-25924, and the National Science Foundation (NSF) 1539070.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/27
Y1 - 2018/12/27
N2 - Unmanned Aerial Vehicles (UAVs) can charge Wireless Rechargeable Sensor Networks (WRSNs) in remote or hard to access locations. However, the charging efficiency is heavily affected by the distance between the wireless transmitter and receiver. This efficiency impacts the possible power level increase of each charged node. Most charging algorithms require full knowledge of sensor nodes' power levels to identify the nodes to charge. Collecting this power information adds overhead to the network and limits scalability. We propose and implement Charging with Power Transfer Efficiency Compensation (CPTEC), an algorithm that charges a WRSN without the need for a priori knowledge of the nodes' power levels. We show that CPTEC compensates for efficiency drops, due to landing alignments, making it practical for real-world power transfer scenarios. Our results show that CPTEC is able to perform with a median at ≈ 72% of the optimal performance of a full knowledge algorithm that assumes maximum power transfer efficiency, while other work drops to ≈ 22%. Under constant maximum efficiency CPTEC performs ≈ 90% of the optimal full knowledge case.
AB - Unmanned Aerial Vehicles (UAVs) can charge Wireless Rechargeable Sensor Networks (WRSNs) in remote or hard to access locations. However, the charging efficiency is heavily affected by the distance between the wireless transmitter and receiver. This efficiency impacts the possible power level increase of each charged node. Most charging algorithms require full knowledge of sensor nodes' power levels to identify the nodes to charge. Collecting this power information adds overhead to the network and limits scalability. We propose and implement Charging with Power Transfer Efficiency Compensation (CPTEC), an algorithm that charges a WRSN without the need for a priori knowledge of the nodes' power levels. We show that CPTEC compensates for efficiency drops, due to landing alignments, making it practical for real-world power transfer scenarios. Our results show that CPTEC is able to perform with a median at ≈ 72% of the optimal performance of a full knowledge algorithm that assumes maximum power transfer efficiency, while other work drops to ≈ 22%. Under constant maximum efficiency CPTEC performs ≈ 90% of the optimal full knowledge case.
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U2 - 10.1109/IROS.2018.8594255
DO - 10.1109/IROS.2018.8594255
M3 - Conference contribution
AN - SCOPUS:85062980118
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 3151
EP - 3158
BT - 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
Y2 - 1 October 2018 through 5 October 2018
ER -