d as one of the most intelligent levels among human-level intelli- gence. And also, our previous research on Cognitive Networks contributed to our understanding and extraction of cognitive functions. 6.3.2.2 Cognitive Networks Compared to a more intricate and complex development of network, traditional network is a level or layer-based static network. Increasing advanced requirements for network applications and higher QoE (Quality of Experience) from customers result in more difficulty in network operating and also monitoring and controlling of network behavior. It is how to adapt to various changes of dynamic network behavior and provide better QoE and QoS (Quality of Service) guarantees has turned out to be crux to be solved in order to switch roles of the current network to a distributed, dynamic, adaptive, and even autonomous one. Based on such tendency, several concepts, constructions, and technologies of emerging networks are proposed and developed, such as Distributed P2P Network [46], Mobile Ad Hoc Network [47], Trustworthy Network [48], Cognitive Radio Network [49], and Ubiquitous Network [50]. The concept of Cognitive Networks is also produced under the background of this trend. Perception is not a new concept which concentrates on the awareness of net- work business from the perspective of operators as well as customers. The specific technologies to implement the function of perception usually rely on data flow parsing and recognizing. Several basic level infrastructures and network architec- ture have been developed and put into practice, such as AON (Application- Oriented Networking) [51] from Cisco, and Acuity Architecture from Lucent. Compared to perception, cognition can be considered as a concept of deeper perception, involving adaptive perception and relocation of assorted levels for net- work architecture and models. Cognitive Radio Network and Cognitive Packet Network [52] are two types of mature researches on cognition, while Cognitive Networks, especially based on wired, Internet and also N