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

H. Alshaheen, H. Takruri-Rizk
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引用次数: 9

Abstract

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.
基于随机线性网络编码提高WBSN瓶颈区生物传感器节点的能量效率
无线身体传感器网络(WBSN)设计中最重要的挑战是减少能源使用和成功传输数据。一般来说,对于医疗保健应用,生物传感器节点的电池不容易充电或更换。因此,能量消耗是wbsn中的一个关键问题,特别是靠近汇聚节点的节点消耗更多的能量,这限制了网络的生命周期,因为所有生物医学数据包都通过这些节点聚集形成瓶颈区。因此,本文提出了一种新的体域网络(BAN)拓扑数学模型来解释生物传感器节点、简单中继节点、网络编码中继节点和汇聚节点之间的部署和连接。该模型采用随机线性网络编码(RLNC)来提高WBSN瓶颈区的生物传感器节点的能量效率,将节能与在传输链路出现故障时实现数据的传输相结合。设计了WBSN的数学模型,结果表明,该机制降低了WBSN的能耗,实现了数据传输。本文详细介绍了研究工作的各个阶段。
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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