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Improving the energy efficiency for biosensor nodes in the WBSN bottleneck zone based on a random linear network coding

机译:基于随机线性网络编码,提高WBSN瓶颈区中的生物传感器节点的能效

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The most important challenges in the design of a Wireless Body Sensor Network (WBSN) are the reduction of energy usage and the successful delivery of data. In general for healthcare applications, the batteries of biosensor nodes cannot be easily recharged or replaced. Therefore energy consumption is a critical issue in WBSNs, specifically, the nodes that are placed next to the sink node consume more energy, which limits the network lifetime because all biomedical packets are aggregated through these nodes forming a bottleneck zone. Therefore, 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. The model uses Random Linear Network Coding (RLNC) to improve the energy efficiency for biosensor nodes in the WBSN bottleneck zone, combining saving energy with achieving the delivery of data if there is a failure in one of the links of the transmissions. A mathematical model for a WBSN was designed, and it was 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:无线体传感器网络(WBSN)设计中最重要的挑战是减少能源使用和成功的数据传递。一般来说,对于医疗保健应用,生物传感器节点的电池不能轻易充电或更换。因此,能量消耗是WBSNS中的一个关键问题,具体地,放置在水槽节点旁边的节点消耗更多的能量,这限制了网络生命周期,因为所有生物医学分组都通过形成瓶颈区域的这些节点聚集。因此,本文提出了一种用于体积网络(禁令)拓扑的新颖数学模型,用于解释生物传感器节点,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。该模型使用随机线性网络编码(RLNC)来提高WBSN瓶颈区中的生物传感器节点的能量效率,如果在传输的一个链路中存在故障,则可以将节能节省能量。设计了WBSN的数学模型,显然是减少了能量消耗,并且通过所提出的机制实现了数据传递。本文详述了研究工作的阶段。

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