物联网学报2025，Vol.9Issue(1)：115-127,13.DOI:10.11959/j.issn.2096-3750.2025.00445
基于强化学习的能量采集传感器传输功率控制方法
RL based transmission power control for energy harvesting sensor
摘要
Abstract
Sensors can harvest energy from the surrounding environment,but the energy supply is always unstable.To achieve effective power control of sensors and enhance their performance metrics,such as data throughput,while ensur-ing long-term life,a reinforcement learning-based power control strategy was designed.Assume an end-to-end communi-cation system,the sender harvests energy,stores it in a battery for data transmission,and continuously buffers data.In practical scenarios,the arrival of energy and data is random and unpredictable.In this study,the current state was only ob-served via the sender,which included harvested energy,battery level,collected data,data cache level,and channel gain.Decisions were made solely based on these limited observations.The soft actor-critic(SAC)algorithm was used to con-trol transmission power,with an appropriate reward function and action clipping method.Experimental results demon-strate that the proposed algorithm outperformes baseline strategies and approaches the theoretical optimal in certain sce-narios.关键词
柔性演员-评论家/无线传感器网络/能量采集/强化学习/功率控制Key words
SAC/wireless sensor network/energy harvesting/reinforcement learning/power control分类
计算机与自动化引用本文复制引用
刘南君,贾日恒,许文韬,李明禄..基于强化学习的能量采集传感器传输功率控制方法[J].物联网学报,2025,9(1):115-127,13.基金项目
国家自然科学基金资助项目(No.62272417)The National Natural Science Foundation of China(No.62272417) （No.62272417）
