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Context-aware source reliability estimation for multi-sensor management

机译:多传感器管理的上下文感知源可靠性估计

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Large-scale pervasive systems deal with situations that are characterized by their stochastic environment and dynamic nature. Sensor Management (SM) literature to date is based on an optimistic assumption about the reliability of the underlying models producing the beliefs associated with imperfect data. Nonetheless, different models usually have different reliabilities and are only valid for a specific sensing range. To address these shortcomings, a novel methodology for estimation of source information reliability based on contextual information of the sensor setting and environment dynamics is proposed. The proposed approach enhances the source information reliability and the detection ratio in an energy efficient manner.
机译:大型普及系统处理其随机环境和动态性质的特征。迄今为止的传感器管理(SM)文献是基于关于产生与不完美数据相关的信仰的底层模型的可靠性的乐观假设。尽管如此,不同的模型通常具有不同的可靠性,并且仅对特定的传感范围有效。为了解决这些缺点,提出了一种基于传感器设置和环境动态的上下文信息估计源信息可靠性的新方法。所提出的方法以节能的方式提高源信息可靠性和检测比。

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