Efficient Multiple Charging Base Stations Assignment for Far-Field Wireless-Charging in Green IoT
Author:
Affiliation:
1. School of Information Science and Engineering, Yunnan University,Kunming,China,650504
2. New Jersey Institute of Technology,Advanced Networking Laboratory,Newark,NJ,USA,07102
Funder
NSFC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685825.pdf?arnumber=9685825
Reference23 articles.
1. Far-Field Wireless Power Transfer Using GRIN Lens Metamaterial at GHz Frequency
2. Wireless Charger Placement and Power Allocation for Maximizing Charging Quality
3. Joint Sensor Selection and Energy Allocation for Tasks-Driven Mobile Charging in Wireless Rechargeable Sensor Networks
4. Maximizing Charging Satisfaction of Smartphone Users via Wireless Energy Transfer
5. TSCA: A Temporal-Spatial Real-Time Charging Scheduling Algorithm for On-Demand Architecture in Wireless Rechargeable Sensor Networks
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1. Latency-Aware Energy-Efficient Far-Field Wireless Charging for IoT;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
2. Study on a Metal Closet Based Wireless Power Transfer System for Smart Suit Charging;2023 Workshop on Microwave Theory and Technology in Wireless Communications (MTTW);2023-10-04
3. Resource Optimization for UAV-assisted Wireless Power Charging Enabled Hybrid Coded Edge Computing Network;IEEE Transactions on Mobile Computing;2023
4. Electromagnetic Radiation Safety on Far-field Wireless Power Transfer in IoT;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04
5. Multiple Mobile Chargers-assisted Efficient Green Energy Wireless Charging for WRSNs;2022 27th Asia Pacific Conference on Communications (APCC);2022-10-19
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