A normalized weighted entropy measure for sensor allocation within simulations

Authors:
Darryl Ahner
Affiliations:
United States Military Academy, West Point, NY
Venue:
Winter Simulation Conference
Year:
2009

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Abstract

Information superiority is considered a critical capability for future joint forces. Sensor allocation and information processing are critical to achieving this information superiority but the value of information is difficult to assess. We develop a weighted entropy measure for sensor allocation within simulations by using the Dynamic Model of Situated Cognition as a framework in which to view the processing and flow of information in a complex technological-cognitive system. The entropy measure developed is normalized across each requirement and weighted according to the Commander's priorities within the phase of that operation. We develop a methodology for implementation for this normalized weighted entropy measure to allocate sensors within a combat simulation.