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The utilization of charging unmanned aerial vehicles (CUAVs) for wireless power transfer offers a promising approach to prolonging the lifespan of wireless rechargeable sensor networks (WRSNs). Nonetheless, optimizing the positioning of CUAVs to boost charging efficiency presents a significant challenge. This section introduces a CUAV deployment optimization problem (CUAVDOP), which focuses on concurrently increasing the number of sensor nodes within CUAVs’ charging ranges, enhancing the minimum charging efficiency across the network, and minimizing the motion energy consumption of the CUAVs.

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Collaborative Scheduling

  • 章节

  • 发表日期：

    2025年

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  • Chi Lin,
  • Yu Sun,
  • Wei Yang

摘要

The utilization of charging unmanned aerial vehicles (CUAVs) for wireless power transfer offers a promising approach to prolonging the lifespan of wireless rechargeable sensor networks (WRSNs). Nonetheless, optimizing the positioning of CUAVs to boost charging efficiency presents a significant challenge. This section introduces a CUAV deployment optimization problem (CUAVDOP), which focuses on concurrently increasing the number of sensor nodes within CUAVs’ charging ranges, enhancing the minimum charging efficiency across the network, and minimizing the motion energy consumption of the CUAVs.