English(EN) HQARRF: Hierarchical Q-learning and Force-aware Routing for Multi-Charger Scheduling in Wireless Rechargeable Sensor Networks

新的HQARRF系统提高了无线网络中传感器的生存率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 04:00

一篇新研究论文介绍了一种名为HQARRF的两级调度系统，该系统专为无线可充电传感器网络设计。该系统旨在通过考虑传感器死亡风险、充电器能量和旅行成本等因素来优化多充电器调度。据报道，与现有基线相比，HQARRF系统将传感器的平均生存率提高了20多个百分点。 AI

影响这项研究通过改进资源管理和减少传感器故障，有望带来更高效、更可靠的传感器网络。

排序理由该集群包含一篇详细介绍无线传感器网络新调度算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.LG TIER_1 English(EN) · Liang-Ching Tao, Pi-Chung Wang · 2026-09-15 04:00

HQARRF：无线可充电传感器网络中多充电器调度的分层Q学习和力感知路由

arXiv:2609.13901v1 Announce Type: cross Abstract: Multi-charger scheduling in wireless rechargeable sensor networks must weigh sensor death risk, charger energy, travel cost, return-to-base feasibility and inter-charger coordination at once, and schedulers driven by local urgency…