基于电池能量中性运行的 EH-WSN 双矢量自适应能量管理方法

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Shuhua Yuan;Yongqi Ge;Xin Chen;Yalin Wang;Rui Liu;Jintao Gao
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引用次数: 0

摘要

针对这一问题,通过分析电池能量缓冲特性,提出了电池ENO(BENO)的概念,并在BENO的基础上提出了双因子批判能量采集无线传感器节点自适应能量管理(DAC)方法。该方法设计了双因子批判器结构,通过电池能量中性值感知ENO,并根据该值动态调整占空比,以达到提高采集能量与消耗能量动态匹配能力的目的。实验在三个具有不同能量收集能力的数据集上进行,并与三种经典算法 RLman、AQL 和 FQL 进行了比较和分析。实验结果表明,与其他三种经典算法相比,DAC 牺牲了少量占空比,但有效提高了电池能量的稳定性,改善了能量利用率和 ENO 性能。BENO 概念和 DAC 方法可为能量收集无线传感器节点的能量管理研究提供指导和参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-Actor Critic Adaptive Energy Management Method for EH-WSN Based on Battery Energy Neutral Operation
Energy harvesting wireless sensor nodes collect energy in a nonlinear dynamic change, resulting in low ability to dynamically match the collected and consumed energy of the node in the process of maintaining energy neutral operation (ENO).To address this problem, the concept of battery ENO (BENO) is proposed by analyzing the battery energy buffer characteristics, and the dual-actor critic energy harvesting wireless sensor node adaptive energy management (DAC) method is proposed based on BENO. The method designs a dual-actor critic structure, senses ENO through the battery energy neutral value, and dynamically adjusts the duty cycle based on this value, in order to achieve the purpose of improving the ability of dynamically matching the collected energy with the consumed energy. The experiments are carried out on three datasets with different energy harvesting capabilities, and compared and analyzed with three classical algorithms, RLman, AQL and FQL. The experimental results show that compared with the other three classical algorithms, DAC sacrifices a small amount of duty cycle, but effectively improves the stability of battery energy, and improves the energy utilization and ENO performance. The BENO concept and the DAC methodology can provide guidance and references for the research of energy management in energy-harvesting wireless sensor nodes.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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