基于传感器和RFID信息的上下文中间件

T. López, Daeyoung Kim
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引用次数: 29

摘要

普适计算环境传统上使用分布式传感器来收集用户上下文。从RFID标签中提取的EPC(电子产品代码)信息还可以提供与该上下文相关的识别信息。然而,在相同的上下文中匹配传感器和RFID信息的过程并不是一项简单的任务。在我们之前的工作中,我们建议将传感器移动到携带RFID标签的相同物体上。通过在那些使用epc的对象之间提供关联功能,我们可以有效地构建用户和对象上下文信息,同时保持全局上下文标识。在本文中,我们分析了EPC网络的使用如何通过提供提取、组织和查询上下文数据的方法使我们的框架受益匪浅。此外,我们还概述了如何向上下文数据生产者提供服务,以及如何通过将服务直接链接到EPC网络基础设施,以普及的方式构建服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Context Middleware Based on Sensor and RFID Information
Pervasive computing environments have traditionally used distributed sensors to gather user context. EPC (electronic product code) information extracted from RFID tags could additionally provide identification information associated with that context. However, the process of matching sensor and RFID information around the same context is not a trivial task. In our previous work, we proposed to move the sensors to the same objects that carry the RFID tags. By providing association capabilities among those objects using their EPCs, we can effectively build user and object context information while maintaining a global context identity. In this paper we analyze how the use of the EPC network could greatly benefit our framework by providing the means for extracting, organizing and querying the context data. Additionally, we outline how services can be offered to the context data producers and how they can be built in a pervasive manner by linking them directly to the EPC network infrastructure.
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