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首页> 外文会议>Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International >A framework for computing quality of information in multi-sensor systems
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A framework for computing quality of information in multi-sensor systems

机译：在多传感器系统中计算信息质量的框架

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摘要

Multi-sensor systems are increasingly used for various monitoring tasks. Information obtained from such systems are imprecise in nature but is used for important decision making tasks. This precipitates the need to dynamically compute the quality of information (QoI) based on sensor observations. However, the heterogeneity of sensors, the addition or removal of sensors, and the complexity of media stream processing make it a very challenging task. In this paper we propose a framework for computing QoI in a dynamic sensor environment, which is designed using a service-oriented publish-subscribe mechanism. In this framework, the sensors, stream processing units and other components are all loosely coupled, providing the flexibility for addition, replacement, or removal of any components without affecting the target application. We envision that the proposed framework will serve as a test bed for real time QoI measurement and other instrumentation application while at the same time demonstrate the flexibility much needed in a dynamic sensor environment.
机译：多传感器系统越来越多地用于各种监视任务。从此类系统获得的信息本质上不精确，但是用于重要的决策任务。这引起了基于传感器观测值动态计算信息质量（QoI）的需求。但是，传感器的异构性，传感器的添加或删除以及媒体流处理的复杂性使其成为一项非常具有挑战性的任务。在本文中，我们提出了一种在动态传感器环境中计算QoI的框架，该框架是使用面向服务的发布-订阅机制设计的。在此框架中，传感器，流处理单元和其他组件都是松散耦合的，从而为添加，更换或移除任何组件提供了灵活性，而不会影响目标应用程序。我们设想，提出的框架将作为实时QoI测量和其他仪器应用的测试平台，同时展示了动态传感器环境中非常需要的灵活性。

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