Title :
Adaptive genetic controller for the dynamic optmization of network traffic of integrated security systems
Author :
Fabio Garzia;Lorenzo Nesbitt;Roberto Cusani
Author_Institution :
Dept. of Information, Electronics and Telecommunication Engineering, SAPIENZA - University of Rome, Rome, Italy
Abstract :
Integrated security system need an efficient communication network to exchange the great amount of data necessary to make them work correctly. In the present paper, a new adaptive genetic controller for the dynamic optimization of network traffic of integrated security systems whose theoretical results have been tested and confirmed on wide and complex integrated security systems such as the Vatican City and Senate of Italian Republic ones is presented.
Keywords :
"Genetics","Security","Genetic algorithms","Communication networks","Telecommunication traffic","Adaptive systems","Optimization"
Conference_Titel :
Security Technology (ICCST), 2015 International Carnahan Conference on
Print_ISBN :
978-1-4799-8690-3
Electronic_ISBN :
2153-0742
DOI :
10.1109/CCST.2015.7389662