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Quality-aware context provider: A filtering approach to context-aware systems on ubiquitous environment

机译:质量感知上下文提供者:一种在普适环境中对上下文感知系统进行过滤的方法

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In ubiquitous environment context awareness approach plays a vital role in adaptability to users requirements. Context-sensitive systems meet specific requirements correctly, only if context information possesses the desired quality of context (QoC). Context data can be unreliable or inaccurate, thus undermining the potential of context-aware services. Some researches adopt a conflict resolution approach through the utilization of few QoC parameters. Other studies define policies based on QoC parameters to resolve conflicts. Both efforts do not exploit application requirements to ensure quality of context. In this research work it is proposed a QoC filtering approach. Our proposal intends to use in a better fashion the context provider, sending only relevant data to the context server. Besides that we present QoC policies, based in terms of application requirements and QoC parameters, which are used in a validation process to filter context data. The experimental simulation indicates a reduction in the amount of data sent and also an improvement on the quality of context on transmitted data.
机译:在无处不在的环境中,意识感知方法在适应用户需求方面起着至关重要的作用。仅当上下文信息具有所需的上下文质量(QoC)时,上下文相关的系统才能正确满足特定要求。上下文数据可能不可靠或不准确,从而削弱了上下文感知服务的潜力。一些研究通过利用少量QoC参数来采用冲突解决方法。其他研究基于QoC参数定义策略来解决冲突。两种努力都没有利用应用程序需求来确保上下文的质量。在这项研究工作中,提出了一种QoC过滤方法。我们的建议旨在以更好的方式使用上下文提供程序,仅将相关数据发送到上下文服务器。除此之外,我们根据应用程序需求和QoC参数提出了QoC策略,这些策略在验证过程中用于过滤上下文数据。实验仿真表明,发送的数据量减少了,传输数据的上下文质量也得到了改善。

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