System level dimensioning of low power biomedical Body Sensor Networks

G. Terrasson, A. Llaria, R. Briand
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引用次数: 9

Abstract

Recent advances in miniaturized sensors, low-power electronics and wireless communications have enabled the development of Body Sensor Networks (BSNs). These networks composed of intelligent communicating nodes are mainly dedicated to healthcare monitoring in order to study different pathologies or to detect and correct health problems. The objective of this article is to demonstrate the need of a system level dimensioning in order to design performing biomedical BSNs. Using the simulation tool OSCCAR developed by authors, this paper analyses the impact on the system performance of technology and strategy choice in early stages of BSN design flow, highlighting at the same time the need of a tradeoff between specifications such as Quality of Service and node autonomy.
低功耗生物医学身体传感器网络的系统级尺寸
小型化传感器、低功耗电子和无线通信的最新进展使人体传感器网络(BSNs)得以发展。这些由智能通信节点组成的网络主要用于健康监测,以研究不同的病理或发现和纠正健康问题。本文的目的是展示系统级维度的需求,以便设计执行生物医学bsn。利用作者开发的OSCCAR仿真工具,分析了BSN设计流程早期阶段的技术和策略选择对系统性能的影响,同时强调了在服务质量和节点自治等规范之间进行权衡的必要性。
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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