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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Published in: | 2023 International Conference on Microelectronics (ICM) pp. 239 - 242 |
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Main Authors: | , , , , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
17-12-2023
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Subjects: | |
Online Access: | Get full text |
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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. |
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ISSN: | 2159-1679 |
DOI: | 10.1109/ICM60448.2023.10378921 |