A Game Theoretic Sensor Resource Allocation Using Fuzzy Logic
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...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2013/792059 |
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| _version_ | 1832553402535510016 |
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| author | Stephen C. Stubberud Kathleen A. Kramer |
| author_facet | Stephen C. Stubberud Kathleen A. Kramer |
| author_sort | Stephen C. Stubberud |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6ba389ae66af4f71ad96cf46c86f2536 |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-6ba389ae66af4f71ad96cf46c86f25362025-02-03T05:54:00ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2013-01-01201310.1155/2013/792059792059A Game Theoretic Sensor Resource Allocation Using Fuzzy LogicStephen C. Stubberud0Kathleen A. Kramer1Oakridge Technology, Del Mar, CA 92014, USAEngineering Department, University of San Diego, San Diego, CA 92110, USAA 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.http://dx.doi.org/10.1155/2013/792059 |
| spellingShingle | Stephen C. Stubberud Kathleen A. Kramer A Game Theoretic Sensor Resource Allocation Using Fuzzy Logic Advances in Fuzzy Systems |
| title | A Game Theoretic Sensor Resource Allocation Using Fuzzy Logic |
| title_full | A Game Theoretic Sensor Resource Allocation Using Fuzzy Logic |
| title_fullStr | A Game Theoretic Sensor Resource Allocation Using Fuzzy Logic |
| title_full_unstemmed | A Game Theoretic Sensor Resource Allocation Using Fuzzy Logic |
| title_short | A Game Theoretic Sensor Resource Allocation Using Fuzzy Logic |
| title_sort | game theoretic sensor resource allocation using fuzzy logic |
| url | http://dx.doi.org/10.1155/2013/792059 |
| work_keys_str_mv | AT stephencstubberud agametheoreticsensorresourceallocationusingfuzzylogic AT kathleenakramer agametheoreticsensorresourceallocationusingfuzzylogic AT stephencstubberud gametheoreticsensorresourceallocationusingfuzzylogic AT kathleenakramer gametheoreticsensorresourceallocationusingfuzzylogic |