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Modelling the energy consumption of memory equipped wireless sensor nodes for healthcare

机译:建模用于医疗保健的配备内存的无线传感器节点的能耗

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The ever increasing number of people who need continuous medical attention coupled with the rising costs of healthcare have triggered the concept of remote patient monitoring. This can be achieved using wireless sensor nodes attached to the human body. Such technology is mainly limited by the amount of available energy. Thus efficient power consumption estimation in the early stage of the design is necessary. In this work, we aim to create a Matlab based model that helps the designer during that process. We will not only be able to determine the power consumption of the node based on the components used, but also on the daily routine of the patient. Moreover, the designer will be guided to the data backup strategy that suits his application best. He will also simulate memory usage and power consumption during the whole monitoring period. Future works will aim to upgrade the model in order to include several sensors operating within a network.
机译:需要持续治疗的人数不断增加,加上医疗保健费用的不断上涨,引发了远程病人监护的概念。这可以通过使用附着在人体上的无线传感器节点来实现。这种技术主要受到可用能量的限制。因此,在设计的早期阶段就必须进行有效的功耗估算。在这项工作中,我们旨在创建一个基于Matlab的模型,以在该过程中为设计人员提供帮助。我们不仅能够根据使用的组件来确定节点的功耗,而且还能根据患者的日常活动来确定节点的功耗。而且,设计人员将被引导到最适合他的应用程序的数据备份策略。他还将在整个监视期间模拟内存使用情况和功耗。未来的工作将旨在升级模型,以包括网络中运行的多个传感器。

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