TItle: Quality of Information in Sensor Networks
Description: The goal of this project is to develop formal and rigorous approaches to reason about, and to optimize under resource constraints, the quality and value of sensor-based information flows. In large-scale distributed sensing, data from diverse sensor sources flow through increasingly higher-level inferences in a layered information fusion architecture to yield timely, actionable, trusted, and relevant intelligence information for decision makers. How well a particular information flow at a given level of abstraction conveys the true state of the world is formalized as Quality of Information (QoI), and is affected by a multitude of factors, such as: the integrity of the sensor sources; the characteristics of the network services; the nature of sensor information processing; the transformations that occur when information flows cross organizational, human-machine, and cultural boundaries; and, in the case of coalition operations, the policies governing information dissemination across coalition boundaries. How effective the information flow is for a particular use is formalized as Value of Information (VoI), and is a function of the information flow content, its QoI, and the decision making process (human or automated) that uses the information.
Status: Inactive Project
Main Research Area: Privacy, Security, and Integrity