{"title":"An hybrid platform for remote health monitoring: From concept to deployment","authors":"K. Heurtefeux, Nasreen Mohsin, H. Menouar","doi":"10.1109/NTMS.2015.7266472","DOIUrl":null,"url":null,"abstract":"This paper presents experimental results from a platform consisting of multiple wearable body area networks (BAN) connected to a wireless mesh network. The proposed platform collects, processes and wirelessly transmits medical data from multiple wearable BAN to a medical control center (MCC) through a solar-powered and multi-hop mesh network. This proof-of-concept platform encompasses several innovations. In the BAN, a dynamic TDMA MAC layer has been implemented over a 802.15.4 physical layer as well as 2 lightweight protocols. To reduce the number of packet sent by sensors and the size of packet sent by the gateway, a similarity-based filter and a polynomial interpolation technique respectively are used. In the solar-powered mesh network, a machine learning algorithm has been implemented to predict battery depletion and ensure continuity of service.","PeriodicalId":115020,"journal":{"name":"2015 7th International Conference on New Technologies, Mobility and Security (NTMS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on New Technologies, Mobility and Security (NTMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTMS.2015.7266472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents experimental results from a platform consisting of multiple wearable body area networks (BAN) connected to a wireless mesh network. The proposed platform collects, processes and wirelessly transmits medical data from multiple wearable BAN to a medical control center (MCC) through a solar-powered and multi-hop mesh network. This proof-of-concept platform encompasses several innovations. In the BAN, a dynamic TDMA MAC layer has been implemented over a 802.15.4 physical layer as well as 2 lightweight protocols. To reduce the number of packet sent by sensors and the size of packet sent by the gateway, a similarity-based filter and a polynomial interpolation technique respectively are used. In the solar-powered mesh network, a machine learning algorithm has been implemented to predict battery depletion and ensure continuity of service.
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