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Advances in Fuzzy Systems
Volume 2013, Article ID 792059, 12 pages
Research Article

A Game Theoretic Sensor Resource Allocation Using Fuzzy Logic

1Oakridge Technology, Del Mar, CA 92014, USA
2Engineering Department, University of San Diego, San Diego, CA 92110, USA

Received 27 October 2012; Revised 13 February 2013; Accepted 13 February 2013

Academic Editor: Richard Jensen

Copyright © 2013 Stephen C. Stubberud and Kathleen A. Kramer. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A sensor resource management system that employs fuzzy logic to provide the utility functions to a game theoretic approach is developed. The application looks at a virtual fence problem where several unattended ground sensors are placed in remote locations to act as virtual sentries. The goal of the approach is to maximize the battery life while tracking targets of interest. This research also considers the incorporation of uncertainty into the fuzzy membership functions. Both type-2 fuzzy logic and the use of conditional fuzzy membership function are employed. The type-2 fuzzy logic is employed in the case of acoustical sensor tracking accuracy degradation, while the condition-based membership functions are used to adapt to different conditions, such as environmental conditions and sensor performance degradation, over time. The resource management process uses fuzzy logic to determine which of the sensor systems on a sensor pod is used to provide initial classification of the target and which sensor or sensors are to be used in tracking and better classifying the target if it is determined to be of value to the mission. The three different approaches are compared to determine when the best times for the more complex approaches are warranted.