Success in the proposed research plan requires progress in two fundamental issues. First, new models and computational tools that shed light onto the structure of the information available in distributed sensing and decision making tasks must be developed. Second, algorithms which exploit these structures to design efficient pursuit-evasion strategies must be designed. These algorithms provide robust and provable solutions to many SAN applications such as tracking. To ensure the practical applicability of these results, they will be adapted for two applications (tracking and surveillance) which can be modeled as pursuit-evasion games and implemented on a sensor-actuator network. Broader Impacts Due to numerous applications of pursuit-evasion games, the results of this project are of interest to a number of communities including control theory, economics and game theory in addition to the algorithms community. Progress in pursuit-evasion games will help in bringing these communities closer and will lead to a richer cross-pollination of ideas. To facilitate this, the output of this research will be disseminated as a monograph. The results of this project are also directly applicable to a number of automation tasks involving sensor-actuator networks and therefore, they will participate in the formation of the next generation of automation technologies through progress in distributed sensing, and decision making. In particular, their utility will be demonstrated on a prototype system for monitoring the elderly through a collaboration with Northeast Health, located in the Samaritan Hospital (Troy, NY) which specializes in remote care technologies. The contribution of this project to the integration of research and education will be twofold: First, the experimental pursuit-evasion game setup will be utilized to attract minority and female students from local primary and secondary schools to new outreach programs. Half of the student population in schools adjacent to Rensselaer Polytechnic Institute's campus (Troy Public High School, Troy Middle School and Public School 14) are under-represented minorities. The outreach programs will include pursuit-evasion games where the students will play against the experimental SAN setup. Solutions to simple pursuit-evasion games will stimulate the students' interests in science and mathematics. Second, a new graduate course titled "Pursuit-Evasion Games with Sensor Actuator Networks" will be developed. In this course, students will gain theoretical background and skills in distributed sensing, control, optimization and game theory; and apply these skills by testing their algorithms on the experimental setup.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Type
Standard Grant (Standard)
Application #
0907658
Program Officer
William H Tranter
Project Start
Project End
Budget Start
2008-08-15
Budget End
2010-09-30
Support Year
Fiscal Year
2009
Total Cost
$103,220
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Type
DUNS #
City
Minneapolis
State
MN
Country
United States
Zip Code
55455