DexterNet:异构身体传感器网络的开放平台及其应用

P. Kuryloski, A. Giani, Roberta Giannantonio, K. Gilani, Raffaele Gravina, Ville-Pekka Seppä, E. Seto, Victor Shia, Curtis Wang, Posu Yan, A. Yang, J. Hyttinen, S. Sastry, S. Wicker, R. Bajcsy
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引用次数: 83

摘要

我们提出了一个名为DexterNet的无线身体传感器网络的开源平台。该系统支持在室内和室外环境中进行实时、持续的人工监控。该平台采用三层结构来控制异构身体传感器。第一层称为身体传感器层(BSL),处理异构身体传感器及其在身体上的仪器的设计。在第二层称为个人网络层(PNL),单个主体上的身体传感器与支持Linux操作系统和IEEE 802.15.4协议的移动基站进行通信。BSL和PNL函数被抽象并实现为一个开源软件库,称为节点环境中的信号处理(SPINE)。DexterNet网络是可扩展的,可以通过SPINE实时重新配置。在第三层称为全球网络层(GNL),多个pnl与远程Internet服务器通信,以永久记录传感器数据并支持更高级的应用程序。我们通过几个实际应用程序演示了DexterNet平台的多功能性。
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DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and its Applications
We present an open-source platform for wireless body sensor networks called DexterNet. The system supports real-time, persistent human monitoring in both indoor and outdoor environments. The platform utilizes a three-layer architecture to control heterogeneous body sensors. The first layer called the body sensor layer (BSL) deals with design of heterogeneous body sensors and their instrumentation on the body. At the second layer called the personal network layer (PNL), the body sensors on a single subject communicate with a mobile base station, which supports Linux OS and the IEEE 802.15.4 protocol. The BSL and PNL functions are abstracted and implemented as an open-source software library, called Signal Processing In Node Environment (SPINE). A DexterNet network is scalable, and can be reconfigured on-the-fly via SPINE. At the third layer called the global network layer (GNL), multiple PNLs communicate with a remote Internet server to permanently log the sensor data and support higher-level applications. We demonstrate the versatility of the DexterNet platform via several real-world applications.
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