{"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.