Learning Automata Method for Channel Assignment in Wireless Cognitive Sensor Network
محورهای موضوعی : مجله بین المللی ریاضیات صنعتیMajid Gholipour 1 , Hoda Hadian Dehkordi 2 , M. Shahriari 3
1 - Islamic Azad University, Qazvin Branch
2 - Department of Mathematics and Science Computer, Amirkabir University of Technology, Tehran, Iran
3 - Faculty of Management, UAE branch, Islamic Azad University, Dubai, UAE.
کلید واژه: Cognitive Network, Wireless Sensor Network, Channel Assignment, Graph Coloring, Learning Automata.,
چکیده مقاله :
One of the main challenges already faced by communication networks is the efficient management of increasing complexity. Cognitive networks are put forwarded in the framework of evolution of network architectures as novel paradigms to provide autonomous in network reasoning to support end to end goals. This paper aims at proposing a new method for modifying spectral efficiency of topology control using new vertex coloring algorithm in Thomas cognitive networks.
One of the main challenges already faced by communication networks is the efficient management of increasing complexity. Cognitive networks are put forwarded in the framework of evolution of network architectures as novel paradigms to provide autonomous in network reasoning to support end to end goals. This paper aims at proposing a new method for modifying spectral efficiency of topology control using new vertex coloring algorithm in Thomas cognitive networks.
