Modelling the energy consumption of memory equipped wireless sensor nodes for healthcare

L. Labrak, N. Abouchi, R. Rammouz, J. Constantin, Y. Zaatar, D. Zaouk
{"title":"Modelling the energy consumption of memory equipped wireless sensor nodes for healthcare","authors":"L. Labrak, N. Abouchi, R. Rammouz, J. Constantin, Y. Zaatar, D. Zaouk","doi":"10.1109/ICABME.2017.8167521","DOIUrl":null,"url":null,"abstract":"The ever increasing number of people who need continuous medical attention coupled with the rising costs of healthcare have triggered the concept of remote patient monitoring. This can be achieved using wireless sensor nodes attached to the human body. Such technology is mainly limited by the amount of available energy. Thus efficient power consumption estimation in the early stage of the design is necessary. In this work, we aim to create a Matlab based model that helps the designer during that process. We will not only be able to determine the power consumption of the node based on the components used, but also on the daily routine of the patient. Moreover, the designer will be guided to the data backup strategy that suits his application best. He will also simulate memory usage and power consumption during the whole monitoring period. Future works will aim to upgrade the model in order to include several sensors operating within a network.","PeriodicalId":426559,"journal":{"name":"2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICABME.2017.8167521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The ever increasing number of people who need continuous medical attention coupled with the rising costs of healthcare have triggered the concept of remote patient monitoring. This can be achieved using wireless sensor nodes attached to the human body. Such technology is mainly limited by the amount of available energy. Thus efficient power consumption estimation in the early stage of the design is necessary. In this work, we aim to create a Matlab based model that helps the designer during that process. We will not only be able to determine the power consumption of the node based on the components used, but also on the daily routine of the patient. Moreover, the designer will be guided to the data backup strategy that suits his application best. He will also simulate memory usage and power consumption during the whole monitoring period. Future works will aim to upgrade the model in order to include several sensors operating within a network.
对医疗保健领域配备内存的无线传感器节点的能耗进行建模
越来越多的人需要持续的医疗护理,加上医疗保健成本的上升,引发了远程患者监控的概念。这可以通过连接在人体上的无线传感器节点来实现。这种技术主要受到可用能源数量的限制。因此,在设计的早期阶段进行有效的功耗估计是必要的。在这项工作中,我们的目标是创建一个基于Matlab的模型,以帮助设计师在此过程中。我们不仅可以根据所使用的组件确定节点的功耗,还可以根据患者的日常生活确定节点的功耗。此外,还将指导设计人员选择最适合其应用程序的数据备份策略。他还将模拟整个监控期间的内存使用和功耗。未来的工作将致力于升级模型,以便在网络中包含多个传感器。
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:604180095
Book学术官方微信