Design tools for complex dynamic security systems.

Byrne, Raymond Harry ; Rigdon, James Brian ; Rohrer, Brandon Robinson ; Laguna, Glenn A. ; Robinett, Rush D., III ; Groom, Kenneth Neal ; Wilson, David Gerald ; Bickerstaff, Robert J. ; Harrington, John J.

Sandia National Laboratories

关键词: Motion Detection Systems;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Entry Control Systems Wireless Communication Systems-Technological Innovations;    Vehicles;    Mathematical Models;   

DOI  :  10.2172/902217
RP-ID  :  SAND2007-0433
RP-ID  :  AC04-94AL85000
RP-ID  :  902217

美国|英语

来源: UNT Digital Library

【 摘 要 】

The development of tools for complex dynamic security systems is not a straight forward engineering task but, rather, a scientific task where discovery of new scientific principles and math is necessary. For years, scientists have observed complex behavior but have had difficulty understanding it. Prominent examples include: insect colony organization, the stock market, molecular interactions, fractals, and emergent behavior. Engineering such systems will be an even greater challenge. This report explores four tools for engineered complex dynamic security systems: Partially Observable Markov Decision Process, Percolation Theory, Graph Theory, and Exergy/Entropy Theory. Additionally, enabling hardware technology for next generation security systems are described: a 100 node wireless sensor network, unmanned ground vehicle and unmanned aerial vehicle.