Modeling on Body Delay Tolerant Network Sink Locality of Wireless Body Area Networks for Different Body Postures

Anthony Mile
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引用次数: 1

Abstract

Due to the recent advancements in the field of wireless communication and Wireless Sensor Networks, the Wireless Body Area Networks (WBANs) have become an area of concern for researchers. In military operations, patient monitoring, sports field, among other wireless body area networks is used for real time monitoring and smart sensing for eHealth operations. In these WBAN, disconnections between the body sensors occur quite often and sometimes of significant duration due to the postural mobility nature of the human. These consequently affects the efficiency of the entire network hence the need for Delay Tolerant Network (DTN). The DTN minimizes delays and adapts itself to cope with long delays if they occur. One of the vital mechanisms that can be employed to enhance the efficiency of the network is to determine the optimal postural locality of the sink node.
不同身体姿态下无线身体区域网络容忍度网络Sink局域化建模
由于近年来无线通信和无线传感器网络领域的进展,无线体域网络(wban)已成为研究人员关注的一个领域。在军事行动中,病人监测、运动领域以及其他无线身体区域网络用于电子健康行动的实时监测和智能传感。在这些WBAN中,由于人体姿势的灵活性,身体传感器之间的断开经常发生,有时会持续很长时间。这些影响了整个网络的效率,因此需要延迟容忍网络(DTN)。DTN最大限度地减少延迟,并适应自身,以应对长时间的延迟,如果他们发生。提高网络效率的重要机制之一是确定汇聚节点的最优位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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