Adaptive Charging With Beam Steering

With the maturation of wireless power transfer technology, Wireless Rechargeable Sensor Networks (WRSNs) have been able to provide a continuous energy supply by scheduling a Mobile Charger (MC). However, traditional charging modes suffer from fixed charging areas that lack the ability to adapt to variable sensor distributions. This inflexibility yields a gap between energy supply and utilization, resulting in relatively low charging efficiency. To address this issue, we propose an adaptive charging mode that utilizes beam steering to dynamically adjust the charging area, thereby catering to different sensor distributions encountered during the charging process. First, we build a dual-symmetric steering charging model to describe the characteristics of dynamic beam steering, enabling precise manipulation of the charging area. Then, we develop a charging power discretization based on steering angle and charging distance to obtain a finite feasible charging strategy set for MC. We reformalize charging utility maximization under energy constraints as a submodular function maximization problem, and propose an approximate algorithm to solve it. Lastly, simulations and field experiments demonstrate that our scheme outperforms other algorithms by 43.9% on average.

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Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2025-06-16
DOI
https://doi.org/10.1109/tmc.2025.3579692
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
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article

Adaptive Charging With Beam Steering

Haipeng Dai, Tang Liu, Linglin Zhang, Meixuan Ren
IEEE Transactions on Mobile Computing
Electric and Hybrid Vehicle Technologies
article

Adaptive Charging With Beam Steering

Haipeng Dai, Tang Liu, Linglin Zhang, Meixuan Ren
article en

Abstract

With the maturation of wireless power transfer technology, Wireless Rechargeable Sensor Networks (WRSNs) have been able to provide a continuous energy supply by scheduling a Mobile Charger (MC). However, traditional charging modes suffer from fixed charging areas that lack the ability to adapt to variable sensor distributions. This inflexibility yields a gap between energy supply and utilization, resulting in relatively low charging efficiency. To address this issue, we propose an adaptive charging mode that utilizes beam steering to dynamically adjust the charging area, thereby catering to different sensor distributions encountered during the charging process. First, we build a dual-symmetric steering charging model to describe the characteristics of dynamic beam steering, enabling precise manipulation of the charging area. Then, we develop a charging power discretization based on steering angle and charging distance to obtain a finite feasible charging strategy set for MC. We reformalize charging utility maximization under energy constraints as a submodular function maximization problem, and propose an approximate algorithm to solve it. Lastly, simulations and field experiments demonstrate that our scheme outperforms other algorithms by 43.9% on average.

IEEE Transactions on Mobile ComputingVol. 24(10)
Sichuan Normal University (CN), Nanjing University (CN)
Openalex Percentile: Top 86%
Electric and Hybrid Vehicle Technologies
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Adaptive Charging With Beam Steering — Haipeng Dai, Tang Liu, et al. · IEEE Transactions on Mobile Computing (2025) | TGRS Research Map | TGRS