Optimizing Charging Schedules for WRSNs: A Multi-Criteria Decision-Making Approach with Multiple Charger Vehicles

Traditional development of wireless rechargeable sensor networks (WRSNs) focused on charger deployment, but recent research overlooked the efficient use of multiple chargers in 2-D or 3-D networks and multi-node energy transfer. This paper proposes a novel approach to address these challenges by mod...

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Bibliographic Details
Published in:2023 International Conference on Microelectronics (ICM) pp. 239 - 242
Main Authors: Aziz, Samah Abdel, Hawbani, Ammar, Wang, Xingfu, Ismail, A.S., Saeed, Nasir, Alsamhi, Saeed H., Zhao, Liang, Al-Dubai, Ahmed
Format: Conference Proceeding
Language:English
Published: IEEE 17-12-2023
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Summary:Traditional development of wireless rechargeable sensor networks (WRSNs) focused on charger deployment, but recent research overlooked the efficient use of multiple chargers in 2-D or 3-D networks and multi-node energy transfer. This paper proposes a novel approach to address these challenges by modeling the charging scheduling problem in WRSNs with multiple Wireless Charging Vehicles (WCVs) as a multi-criteria decision-making problem. The approach involves two steps, including the enhanced k-means clustering for dividing tasks and traffic distribution and using a Fuzzy logic system to prioritize and optimize charging requests. Our extensive simulations demonstrate the effectiveness and competitiveness of our scheme, showing superior performance compared to prior approaches.
ISSN:2159-1679
DOI:10.1109/ICM60448.2023.10378921