TY - GEN
T1 - Scheduling Green Energy Wireless Charging of IoT Devices
AU - Jia, Yongxing
AU - Liu, Xilong
AU - Ansari, Nirwan
AU - Sha, Qiuyu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Using green energy to charge Internet of Things (IoT) devices is becoming a technically viable option. Green far-field Wireless Power Transmission can help powering IoT terminal devices. Keeping the maximum number of IoT devices (IoTDs) in their normal working modes is to furthest prolong the lifetime of the IoT network. In this work, for a given charging area, we first determine association between IoTDs and the green energy base station (GEBS), and then efficiently power IoTDs wirelessly. In green far-field wireless charging, we propose a dual-threshold model for IoTDs to facilitate wireless charging. In the dual-threshold model, we define two thresholds, i.e., Alarm Threshold and Working Threshold. Based on the dual-threshold model, we then propose the Dual-Threshold Orderly Charging (DTOC) algorithm to efficiently charge their surrounding IoTDs in a specific order to improve the charging efficiency. Finally, we validate the performance of the proposed algorithm through extensive simulations.
AB - Using green energy to charge Internet of Things (IoT) devices is becoming a technically viable option. Green far-field Wireless Power Transmission can help powering IoT terminal devices. Keeping the maximum number of IoT devices (IoTDs) in their normal working modes is to furthest prolong the lifetime of the IoT network. In this work, for a given charging area, we first determine association between IoTDs and the green energy base station (GEBS), and then efficiently power IoTDs wirelessly. In green far-field wireless charging, we propose a dual-threshold model for IoTDs to facilitate wireless charging. In the dual-threshold model, we define two thresholds, i.e., Alarm Threshold and Working Threshold. Based on the dual-threshold model, we then propose the Dual-Threshold Orderly Charging (DTOC) algorithm to efficiently charge their surrounding IoTDs in a specific order to improve the charging efficiency. Finally, we validate the performance of the proposed algorithm through extensive simulations.
UR - http://www.scopus.com/inward/record.url?scp=85123473975&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123473975&partnerID=8YFLogxK
U2 - 10.1109/APCC49754.2021.9609955
DO - 10.1109/APCC49754.2021.9609955
M3 - Conference contribution
AN - SCOPUS:85123473975
T3 - Proceeding - 2021 26th IEEE Asia-Pacific Conference on Communications, APCC 2021
SP - 105
EP - 110
BT - Proceeding - 2021 26th IEEE Asia-Pacific Conference on Communications, APCC 2021
A2 - Mansor, Mohd Fais
A2 - Ramli, Nordin
A2 - Ismail, Mahamod
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE Asia-Pacific Conference on Communications, APCC 2021
Y2 - 11 October 2021 through 13 October 2021
ER -