Valid.IoT: a framework for sensor data quality analysis and interpolation
作者： Daniel Kuemper , Thorben Iggena , Ralf Toenjes , Elke Pulvermueller
关键词: Information quality 、 Smart city 、 Sensor fusion 、 Computer science 、 Ground truth 、 Interpolation 、 Data mining 、 Crowdsourcing 、 Data quality 、 Component (UML)
摘要: Heterogeneous sensor device networks with diverse maintainers and information collected via social media as well crowdsourcing tend to be elements of uncertainty in IoT Smart City networks. Often, there is no ground truth available that can used check the plausibility concordance new information. This paper proposes Valid.IoT Framework an attachable framework component linked generate QoI vectors Interpolated sensory data quality estimations a variety platforms. The utilises extended infrastructure knowledge infrastructure-aware interpolation algorithms validate crowdsourced generated through fusion.
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