099-068: System and Method for Managing Sensors of a System

This Mason technology manages large networks of heterogeneous sensors.

It does this by performing the functions of 1) determining system information needs in an information theoretic sense, 2) selecting one of several admissible measurement functions capable of satisfying the system information needs, 3) and identifying sensors to be used for performing the selected measurement function. Essentially the sensor is chosen which will maximally reduce the uncertainty in an estimate of the state of a real world thereby realizing the greatest flow of information through the sensors into the system as measured by entropy change. The method was originally developed to manage sensors in a military reconnaissance environment, however the techniques are applicable to data mining and any other sensing environment in which it is important to get the maximum information from each query or sensing operation in a constrained environment. Constraints on sensor usage can be due to limited sensor power, the desire to not reveal the sensor by minimizing the sensing actions, finite computing power, or bandwidth restrictions on the network used to access raw data.

Market Significance:

Heterogeneous, multi sensor systems have been used in a variety of applications, including military, industrial, research, and informational settings, to obtain data from external sources. To effectively gather and use the information, a management system is necessary to operate the sensors and control their functions. This method can be utilized to retrieve, analyze, and convert data into usable information from any source including the Internet.
Implementation of this system has been achieved through the use of a goal lattice in an operational management system and spline GUI as a touch screen for pilot input on an instrument panel.

- Fewer sensors will search, track, and identify more targets
- Consumes less prime power
- Lower emissions