A genetic-based application oriented approach to optimize RFID-like passive sensor devices for homeland security

Author

Alippi, Cesare ; Vanin, Giovanni

Author_Institution

Dipt. di Elettronica e Informazione, Politecnico di Milano, Italy

fYear

2004

fDate

21-22 July 2004

Firstpage

81

Lastpage

86

Abstract

The paper focuses on radio frequency identification devices with improved sensorial abilities and investigates their involvement in homeland and environmental security applications. An application level methodology is suggested which allows the passive device for reducing the total energy required to send the acquired information back to the reader unit. This allows the designer for increasing both reading throughput and reading distance, hence covering a larger acquisition area. The application requirements are cast in an optimization problem which is then solved with a genetic algorithm-based optimization procedure.

Keywords

genetic algorithms; high level synthesis; intelligent sensors; mobile computing; radiofrequency identification; security; RFID reading range; RFID-like passive sensor device optimization; acquisition area; application level methodology; environmental security; genetic algorithm; high level synthesis; homeland security; information acquisition; optimization problem; power-aware computation; radio frequency identification devices; reader unit; reading distance; reading throughput; smart sensor tags; Design optimization; Information security; Landmine detection; Monitoring; RFID tags; Radio frequency; Radiofrequency identification; Terrorism; Transponders; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Homeland Security and Personal Safety, 2004. CIHSPS 2004. Proceedings of the 2004 IEEE International Conference on

Print_ISBN

0-7803-8381-8

Type

conf

DOI

10.1109/CIHSPS.2004.1360213

Filename

1360213