Using Bayesian Networks for Cognitive Control of Multi-hop Wireless Networks

Giorgio Quer Hemanth Meenakshisundaram Bheemarjuna Reddy Tamma BS Manoj Ramesh Rao Michele Zorzi
Abstract: Tactical communication networking faces diverse operational scenarios where network optimization is a very challenging task. Learning from the network environment, in order to optimally adapt the network settings, is an essential requirement for providing efficient communication services in such environments. Cognitive networking deals with the application of cognition to the entire protocol stack for achieving network-wide performance goals. One of the key requirements of a cognitive network is to learn the relationships ...