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Configuring a Context-Aware Middleware for Wireless Sensor Networks

机译:为无线传感器网络配置上下文感知中间件

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摘要

In the Future Internet, applications based on Wireless Sensor Networks will have to support reconfiguration with minimum human intervention, depending on dynamic context changes in their environment. These situations create a need for building these applications as adaptive software and including techniques that allow the context acquisition and decisions about adaptation. However, contexts use to be made up of complex information acquired from heterogeneous devices and user characteristics, making them difficult to manage. So, instead of building context-aware applications from scratch, we propose to use FamiWare, a family of middleware for Ambient Intelligence specifically designed to be aware of contexts in sensor and smartphone devices. It provides both, several monitoring services to acquire contexts from devices and users, and a context-awareness service to analyze and detect context changes. However, the current version of FamiWare does not allow the automatic incorporation related to the management of new contexts into the FamiWare family. To overcome this shortcoming, in this work, we first present how to model the context using a metamodel to define the contexts that must to be taken into account in an instantiation of FamiWare for a certain Ambient Intelligence system. Then, to configure a new context-aware version of FamiWare and to generate code ready-to-install within heterogeneous devices, we define a mapping that automatically transforms metamodel elements defining contexts into elements of the FamiWare family, and we also use the FamiWare configuration process to customize the new context-aware variant. Finally, we evaluate the benefits of our process, and we analyze both that the new version of the middleware works as expected and that it manages the contexts in an efficient way.
机译:在未来的Internet中,基于无线传感器网络的应用程序将必须以最少的人工干预来支持重新配置,具体取决于其环境中动态上下文的变化。这些情况导致需要将这些应用程序构建为自适应软件,并包括允许上下文获取和关于自适应的决策的技术。但是,上下文通常由从异构设备获取的复杂信息和用户特征组成,因此难以管理。因此,我们建议不要使用FamiWare,它是Ambient Intelligence的中间件系列,专门设计用于感知传感器和智能手机设备中的上下文,而不是从头开始构建上下文感知的应用程序。它既提供了几种监视服务来从设备和用户获取上下文,又提供了上下文感知服务来分析和检测上下文变化。但是,当前版本的FamiWare不允许将与新上下文管理相关的自动合并到FamiWare系列中。为了克服这一缺点,在本文中,我们首先介绍如何使用元模型对上下文建模,以定义在特定环境智能系统的FamiWare实例化中必须考虑的上下文。然后,为了配置新的上下文感知版本的FamiWare并生成可在异构设备中安装的代码,我们定义了一个映射,该映射自动将定义上下文的元模型元素转换为FamiWare系列元素,并且还使用FamiWare配置自定义新的上下文感知变体的过程。最后,我们评估了过程的好处,并分析了中间件的新版本是否按预期工作以及它以有效的方式管理上下文的过程。

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