Optimal policies for two-user energy harvesting device networks with imperfect state-of-charge knowledge

D. Testa, M. Zorzi
{"title":"Optimal policies for two-user energy harvesting device networks with imperfect state-of-charge knowledge","authors":"D. Testa, M. Zorzi","doi":"10.1109/ITA.2014.6804264","DOIUrl":null,"url":null,"abstract":"Energy Harvesting Devices (EHDs) are enjoying continuously increasing popularity in Wireless Sensor Network research, due to their ability to “harvest” energy from the environment, thus allowing long-term and autonomous operation. Traditional approaches generally assume that the exact energy value of the State-of-Charge (SOC) of an EHD is known. In reality, batteries are practically composed by electro-chemical rechargeable elements or super-capacitors, where the estimation of the energy levels is a complex task. In this paper, we analyze operation policies able to maximize the long-term reward for a network consisting of a pair of EHDs and a central controller (CC), under imperfect knowledge of the SOC. More precisely, we suppose that the CC only knows whether each EHD is “LOW” or ”HIGH,”and has to determine the amount of energy devoted to the transmission over a shared wireless channel. We show that the performance degradation due to the imperfect knowledge of the SOC decreases with the battery capacity of the two nodes, and is practically negligible when this value is sufficiently high.","PeriodicalId":338302,"journal":{"name":"2014 Information Theory and Applications Workshop (ITA)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Information Theory and Applications Workshop (ITA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITA.2014.6804264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

Energy Harvesting Devices (EHDs) are enjoying continuously increasing popularity in Wireless Sensor Network research, due to their ability to “harvest” energy from the environment, thus allowing long-term and autonomous operation. Traditional approaches generally assume that the exact energy value of the State-of-Charge (SOC) of an EHD is known. In reality, batteries are practically composed by electro-chemical rechargeable elements or super-capacitors, where the estimation of the energy levels is a complex task. In this paper, we analyze operation policies able to maximize the long-term reward for a network consisting of a pair of EHDs and a central controller (CC), under imperfect knowledge of the SOC. More precisely, we suppose that the CC only knows whether each EHD is “LOW” or ”HIGH,”and has to determine the amount of energy devoted to the transmission over a shared wireless channel. We show that the performance degradation due to the imperfect knowledge of the SOC decreases with the battery capacity of the two nodes, and is practically negligible when this value is sufficiently high.
具有不完全充电状态知识的双用户能量收集设备网络的最优策略
能量收集设备(EHDs)在无线传感器网络研究中越来越受欢迎,因为它们能够从环境中“收集”能量,从而允许长期自主运行。传统方法通常假设EHD的荷电状态(SOC)的确切能量值是已知的。在现实中,电池实际上是由电化学可充电元件或超级电容器组成的,其中能量水平的估计是一项复杂的任务。在本文中,我们分析了在不完全了解SOC的情况下,能够最大化由一对ehd和一个中央控制器(CC)组成的网络的长期回报的操作策略。更准确地说,我们假设CC只知道每个EHD是“LOW”还是“HIGH”,并且必须确定用于通过共享无线信道传输的能量量。我们表明,由于对SOC的不完全了解而导致的性能下降随着两个节点的电池容量而减少,并且当该值足够高时几乎可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信