Large-scale context-aware system in smart spaces: Issues and challenges

S. L. Kiani, Boris Moltchanov, M. Knappmeyer, N. Baker
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引用次数: 5

Abstract

Smart spaces are characterised by availability of information from digital artifacts embedded in the environment and network services that unobtrusively enhance our interaction with the digital world. User and environment context plays a vital role in deciding the usability of information services available in a smart space. Making this context available and coordinating it across the network, geographic and administrative boundaries of individual smart spaces are significant challenges that have not been adequately addressed in existing context-aware systems. We discuss various facets of this challenge and present an architecture based on federation of context brokers for large-scale context dissemination in smart spaces.
智能空间中的大规模情境感知系统:问题与挑战
智能空间的特点是嵌入在环境和网络服务中的数字工件信息的可用性,这些信息不显眼地增强了我们与数字世界的互动。用户和环境上下文在决定智能空间中可用信息服务的可用性方面起着至关重要的作用。使此上下文可用并在单个智能空间的网络、地理和管理边界之间进行协调是现有上下文感知系统尚未充分解决的重大挑战。我们讨论了这一挑战的各个方面,并提出了一种基于上下文代理联盟的架构,用于智能空间中的大规模上下文传播。
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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