CASS:面向智能家居的情境感知仿真系统

Joonseok Park, Mikyeong Moon, Seongjin Hwang, Keunhyuk Yeom
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引用次数: 75

摘要

普适计算(ubicomp)环境为用户提供了随时随地访问信息和计算资源的能力。在即将到来的无处不在的时代,许多自适应应用正在涌现。这些可以用来适应应用程序运行的环境。上下文信息是在通用计算机环境中生成自适应应用程序的关键。但是,生成上下文信息的支持基础设施可以动态响应环境。因此,为了开发自适应应用程序,有必要证明有效的上下文信息可以由虚拟传感器而不是物理传感器创建。本文提出了一个上下文感知仿真系统CASS。特别是,它生成与智能家居领域中的虚拟传感器和虚拟设备相关的上下文信息。通过使用CASS,自适应应用程序开发人员可以立即检测上下文信息中的规则冲突,并确定智能家居中的最佳传感器和设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CASS: A Context-Aware Simulation System for Smart Home
Ubiquitous computing (ubicomp) environments provide access to information and computing resources for users at any time and anywhere. In the approaching ubiquitous ear, many self-adaptive applications are emerging. These can be made to adapt to the environment within which the application operates. Context information is the key to producing self-adaptive applications in ubicomp environments. However, the supporting infrastructure that generates context information can be made dynamically responsive to the environment. Therefore, for the development of self-adaptive applications, it is necessary to demonstrate that valid context information can be created by virtual sensors instead of physical sensors. In this paper we present a context aware simulation system called CASS. In particular, it generates the context information associated with virtual sensors and virtual devices in a smart home domain. By using CASS, the self-adaptive application developer can immediately detect rule conflict in context information and determine optimal sensors and devices in a smart home.
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