Robust framework for 6LoWPAN-based body sensor network interfacing with smartphone

T. Gonnot, Won-Jae Yi, Ehsan Monsef, J. Saniie
{"title":"Robust framework for 6LoWPAN-based body sensor network interfacing with smartphone","authors":"T. Gonnot, Won-Jae Yi, Ehsan Monsef, J. Saniie","doi":"10.1109/EIT.2015.7293361","DOIUrl":null,"url":null,"abstract":"This paper presents the design of a robust framework for body sensor network. In this framework, sensor nodes communicate using 6LoWPAN, running on the Contiki operating system, which is designed for energy efficiency and configuration flexibility. Furthermore, an embedded router is implemented using a Raspberry Pi to bridge the information to a Bluetooth capable smartphone. Consequently, the smartphone can process, analyze, compress and send the data to the cloud using its data connection. One of the major application of this framework is home patient monitoring, with 24/7 data collection capability. The collected data can be sent to a doctor at any time, or only when an anomaly is detected.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Electro/Information Technology (EIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2015.7293361","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

This paper presents the design of a robust framework for body sensor network. In this framework, sensor nodes communicate using 6LoWPAN, running on the Contiki operating system, which is designed for energy efficiency and configuration flexibility. Furthermore, an embedded router is implemented using a Raspberry Pi to bridge the information to a Bluetooth capable smartphone. Consequently, the smartphone can process, analyze, compress and send the data to the cloud using its data connection. One of the major application of this framework is home patient monitoring, with 24/7 data collection capability. The collected data can be sent to a doctor at any time, or only when an anomaly is detected.
基于6lowpan的身体传感器网络与智能手机接口的鲁棒框架
提出了一种用于人体传感器网络的鲁棒框架设计。在这个框架中,传感器节点使用6LoWPAN进行通信,运行在Contiki操作系统上,该系统旨在提高能源效率和配置灵活性。此外,使用树莓派实现了嵌入式路由器,将信息桥接到具有蓝牙功能的智能手机。因此,智能手机可以处理、分析、压缩数据,并通过其数据连接将数据发送到云端。该框架的主要应用之一是家庭患者监测,具有24/7数据收集功能。收集到的数据可以在任何时候发送给医生,或者只有在检测到异常时才发送给医生。
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