Design tools for complex dynamic security systems.
- .
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.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 902217
- Report Number(s):
- SAND2007-0433; TRN: US200717%%431
- Country of Publication:
- United States
- Language:
- English
Similar Records
Presentation for LDRD FY19 proposal: An Innovative Secure millimeter wave (mmWave) Machine to Machine (M2M) Communication Network for Operating Drones
ADVANCING THE TRANSPORTATION – SECURITY, TRACKING, AND REPORTING (T-STAR) SYSTEM
Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
COMPUTER-AIDED DESIGN
MATHEMATICAL MODELS
COMPARATIVE EVALUATIONS
SENSORS
VEHICLES
INTRUSION DETECTION SYSTEMS
MOTION DETECTION SYSTEMS
PHYSICAL PROTECTION DEVICES
SECRECY PROTECTION
ENTRY CONTROL SYSTEMS
Wireless communication systems-Technological innovations
Wireless communication systems.
Security systems.
Sensors.