DocumentCode
2395696
Title
Evolution of Sensor Suites for Complex Environments
Author
Wu, Annie S. ; Yilmaz, Ayse S. ; Sciortino, John C.
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Central Florida Univ., Orlando, FL
fYear
0
fDate
0-0 0
Firstpage
590
Lastpage
595
Abstract
We present a genetic algorithm (GA) based decision tool for the design and configuration of teams of unmanned ground sensors. The goal of the algorithm is to generate candidate solutions that meet cost and performance constraints. The GA evolves the membership, placement, and characteristics of a team of cooperating sensors. Previous work shows that this algorithm can generate successful teams in simple, obstacle free environments. This work examines the performance of our algorithm in environments that include obstacles
Keywords
distributed sensors; electronic warfare; genetic algorithms; genetic algorithm based decision tool; sensor suites; unmanned ground sensors; Algorithm design and analysis; Communication system control; Electronic warfare; Genetic algorithms; Intelligent sensors; Laser radar; Radar detection; Sensor phenomena and characterization; Surveillance; Weapons;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
Conference_Location
Ft. Lauderdale, FL
Print_ISBN
1-4244-0065-1
Type
conf
DOI
10.1109/ICNSC.2006.1673212
Filename
1673212
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