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Improving the energy efficiency for the WBSN bottleneck zone based on random linear network coding

机译:基于随机线性网络编码提高WBSN瓶颈区的能效

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摘要

The reduction of energy consumption and the successful delivery of data are important for the Wireless Body Sensor Network (WBSN). Many studies have been proposed to improve energy efficiency, but most of them have not focussed on the biosensor nodes in the WBSN bottleneck zone. Energy consumption is a critical issue in WBSNs, as the nodes that are placed next to the sink node consume more energy. All biomedical packets are aggregated through these nodes forming a bottleneck zone. This paper proposes a novel mathematical model for body area network (BAN) topology to explain the deployment and connection between biosensor nodes, simple relay nodes, network coding relay nodes and the sink node. Therefore, this paper is dedicated to researching both the energy saving and delivery of data if there is a failure in one of the links of the transmission, which relates to the proposed Random Linear Network Coding (RLNC) model in the WBSN. Using a novel mathematical model for a WBSN, it is apparent that energy consumption is reduced and data delivery achieved with the proposed mechanism. This paper details the stages of the research work.
机译:减少能耗和成功传输数据对于无线人体传感器网络(WBSN)至关重要。已经提出了许多研究来提高能量效率,但是大多数研究没有集中在WBSN瓶颈区中的生物传感器节点上。能耗是WBSN中的关键问题,因为位于接收节点旁边的节点会消耗更多的能量。通过这些节点聚集所有生物医学数据包,形成瓶颈区。本文提出了一种新的人体局域网(BAN)拓扑数学模型,以说明生物传感器节点,简单中继节点,网络编码中继节点和宿节点之间的部署和连接。因此,如果传输链路之一出现故障,本文将专门研究节能和数据传输,这与WBSN中提出的随机线性网络编码(RLNC)模型有关。使用针对WBSN的新型数学模型,很明显,使用所提出的机制可以减少能耗并实现数据传输。本文详细介绍了研究工作的各个阶段。

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