Cognitive Network Inference through Bayesian Network Analysis

Conference/Journal
IEEE
Authors
Giorgio Quer Hemanth Meenakshisundaram Bheemarjuna Reddy Tamma BS Manoj Ramesh Rao Michele Zorzi
BibTex
Abstract
Abstract: Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios that apply cognition only at the physical layer. Designing a cognitive network is challenging since learning the relationship between network protocol parameters in an automated fashion is very complex. We propose to use Bayesian Network (BN) models for creating a representation of the dependence relationships among network protocol ...