能量收集的无线传感器节点能量管理策略

阔永红; 陈国帅; 陈健

doi:10.15961/j.jsuese.201700023

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能量收集的无线传感器节点能量管理策略

信息工程 | 更新时间：2023-11-14

- 能量收集的无线传感器节点能量管理策略
- Energy Management Policy of Wireless Energy Harvesting Sensor
- 工程科学与技术 2017年49卷第6期页码：122-128
- 作者机构：
  
  西安电子科技大学通信工程学院陕西,西安,710071
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（61771366）;高等学校学科创新引智计划资助项目（B08038）
- DOI：10.15961/j.jsuese.201700023
  中图分类号： TN92
- 纸质出版日期：2017，
  
  网络出版日期：2017-10-20，
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阔永红,陈国帅,陈健.能量收集的无线传感器节点能量管理策略[J].工程科学与技术,2017,49(6):122-128.

Kuo Yonghong, Chen Guoshuai, Chen Jian. Energy Management Policy of Wireless Energy Harvesting Sensor[J]. Advanced Engineering Sciences, 2017,49(6):122-128.
阔永红,陈国帅,陈健.能量收集的无线传感器节点能量管理策略[J].工程科学与技术,2017,49(6):122-128. DOI： 10.15961/j.jsuese.201700023.

Kuo Yonghong, Chen Guoshuai, Chen Jian. Energy Management Policy of Wireless Energy Harvesting Sensor[J]. Advanced Engineering Sciences, 2017,49(6):122-128. DOI： 10.15961/j.jsuese.201700023.

摘要

中文摘要: 针对能量收集无线传感器网络中传感器节点电池存在存储损耗和容量衰减特性的问题，建立了末梢节点电池存储损耗和容量衰减的通信模型，研究了无线传感器生命周期内吞吐量最大化的问题。将系统优化问题转化为凸优化问题，通过凸优化分析得到与当前能量收集水平、电池能量水平以及信道增益相关的信息传输功率控制策略；提出了适应电池存储损耗和容量衰减的双功率阈值算法，用于优化平均吞吐量；提出了最小化放电空间的电池充放电管理策略抑制电池容量的衰减速度，优化无线传感器的生命周期，并对无线传感器生命周期与电池放电空间进行理论估计。仿真结果表明，在不同电池存储效率、放电空间比例下，本文提出的双功率阈值算法相较于自适应定向注水算法能够通过减少电池的频繁充放电次数，降低收集能量的存储损失，优化了无线传感器的平均吞吐量和生命周期，使生命周期内的吞吐量最大化。

Abstract

Abstract:In order to overcome the storage loss and capacity degradation issues of the batteries in wireless sensor network

a communication model of battery storage loss and capacity degradation was established for maximizing the throughput within each wireless sensor life cycle.The optimization problem was firstly transformed into a convex problem.Then

the power control strategy

which is simultaneously related to the current harvesting energy level

the battery energy level

and the channel gain

can be directly obtained through the convex optimization analysis.Next

a dual power threshold algorithm was presented to deal with the problems of battery storage loss and capacity degradation

and optimize the average system throughput.Afterwards

a charge-discharge management policy was proposed to restrain decay rate of the battery capacity.The proposed policy is able to optimize and estimate both of the life cycle and the battery discharge space of the wireless sensor.Simulation results demonstrated that compared with the adaptive directional water algorithm

the presented dual power threshold algorithm is capable of avoiding frequent charge-discharge operations

thus reducing the storage loss of the harvesting energy

optimizing the average throughput and the life cycle

and finally promoting the total throughput within each life cycle.

关键词

能量收集无线传感器存储损耗容量衰减瑞利衰落

Keywords

energy harvestingwireless sensorstoring inefficiencybattery degradationRayleigh fading

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