Kim Beom-Su, Kim Kyong Hoon, Kim Ki-Il
Department of Informatics, Gyeongsang National University, Jinju 52828, Korea.
Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea.
Sensors (Basel). 2017 Apr 7;17(4):797. doi: 10.3390/s17040797.
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.
无线体域网（WBANs）已引起了学术界的研究兴趣，因为越来越多有前景的医疗保健应用倾向于将其用作底层网络技术。在考虑诸如小型硬件以及低功耗计算等设计问题的同时，已经提出了许多研究来完成无线体域网中的给定任务。然而，由于现有的大多数工作基本上都是在假设所有节点处于静态状态的情况下开展的，因此这些方案无法应用于传感器节点之间的网络拓扑会根据人体移动行为频繁且意外地发生变化的实际场景。然而，据作者所知，目前还没有综述文章专门关注无线体域网中移动性支持的研究挑战。为了弥补这一不足，在本文中，我们介绍了当前的先进方法，并讨论了无线体域网中与移动性相关的重要特征。我们对移动性模型进行了概述，并将这些模型分为个体模型和群组模型。此外，还对近期文献中的网络技术进行了概述，并从多个方面进行了总结以便比较。本文还提出了该领域未来研究的潜在方向。
