Your browser doesn't support javascript.
loading
A Survey on Mobility Support in Wireless Body Area Networks.
Kim, Beom-Su; Kim, Kyong Hoon; Kim, Ki-Il.
Afiliação
  • Kim BS; Department of Informatics, Gyeongsang National University, Jinju 52828, Korea. bumsou10@naver.com.
  • Kim KH; Department of Informatics, Gyeongsang National University, Jinju 52828, Korea. kikim@cnu.ac.kr.
  • Kim KI; Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea. kikim@cnu.ac.kr.
Sensors (Basel) ; 17(4)2017 Apr 07.
Article em En | MEDLINE | ID: mdl-28387745
ABSTRACT
Wireless Body Area Networks (WBANs) have attracted research interests from the community, as more promising healthcare applications have a tendency to employ them as underlying network technology. While taking design issues, such as small size hardware as well as low power computing, into account, a lot of research has been proposed to accomplish the given tasks in WBAN. However, since most of the existing works are basically developed by assuming all nodes in the static state, these schemes therefore cannot be applied in real scenarios where network topology between sensor nodes changes frequently and unexpectedly according to human moving behavior. However, as far as the authors know, there is no survey paper to focus on research challenges for mobility support in WBAN yet. To address this deficiency, in this paper, we present the state-of-the-art approaches and discuss the important features of related to mobility in WBAN. We give an overview of mobility model and categorize the models as individual and group. Furthermore, an overview of networking techniques in the recent literature and summary are compiled for comparison in several aspects. The article also suggests potential directions for future research in the field.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article