Abstract
An integral component of nearly all Internet of Things (IoT) systems or applications relies on the deployment and utilization of sensors which often yield massive volumes of disparate and distributed heterogeneous data. This sensor data is often transformed into usable information that can provide valuable insights for further facilitating the decision making process or enforcing strategic policies. Managing this raw data generated by IoT sensors while enforcing a certain level of quality is becoming a challenging task particularly for mission critical applications (e.g. homeland security, disaster preparedness, etc.). In this paper, we introduce the Quality of Data for IoT Devices (QoDID) framework that attempts to address key challenges associated with the collection and processing of raw sensor data used in IoT systems or applications. Throughout the paper, we discuss the overall architecture, use cases and implementation details of QoDID. We further use our QoDID framework to provide insights on improving the data acquisition processes involving devices and sensors in IoT systems.
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