{"title":"医疗体域网络:移动性和渠道建模","authors":"R. Braham, Ferdawss Douma, Amina Nahali","doi":"10.1109/DT.2017.8012064","DOIUrl":null,"url":null,"abstract":"Body Area Networks (BANs) have become the focus of both research and industry in the last five years. Furthermore, IEEE has published the official standard in 2012. BANs come in several variants such as Medical (or hospital) BANs (MBANs) and wireless BANs (WBANs). They are also located at the crossing of several domains for example wearables, Internet of Things (IoT), sensors nets, and so on. In this paper we propose contributions at two BAN levels. We first present a system level solution for MBAN mobility and handover (HO). Second, we give a BAN channel model which consists of an extension of our work formerly applied to Wi-Fi and Wimax.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Medical Body Area Networks: Mobility and channel modeling\",\"authors\":\"R. Braham, Ferdawss Douma, Amina Nahali\",\"doi\":\"10.1109/DT.2017.8012064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Body Area Networks (BANs) have become the focus of both research and industry in the last five years. Furthermore, IEEE has published the official standard in 2012. BANs come in several variants such as Medical (or hospital) BANs (MBANs) and wireless BANs (WBANs). They are also located at the crossing of several domains for example wearables, Internet of Things (IoT), sensors nets, and so on. In this paper we propose contributions at two BAN levels. We first present a system level solution for MBAN mobility and handover (HO). Second, we give a BAN channel model which consists of an extension of our work formerly applied to Wi-Fi and Wimax.\",\"PeriodicalId\":426951,\"journal\":{\"name\":\"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)\",\"volume\":\"140 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DT.2017.8012064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DT.2017.8012064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Medical Body Area Networks: Mobility and channel modeling
Body Area Networks (BANs) have become the focus of both research and industry in the last five years. Furthermore, IEEE has published the official standard in 2012. BANs come in several variants such as Medical (or hospital) BANs (MBANs) and wireless BANs (WBANs). They are also located at the crossing of several domains for example wearables, Internet of Things (IoT), sensors nets, and so on. In this paper we propose contributions at two BAN levels. We first present a system level solution for MBAN mobility and handover (HO). Second, we give a BAN channel model which consists of an extension of our work formerly applied to Wi-Fi and Wimax.