Proposal of contents-oriented cognitive network architecture towards realization of the New Generation Network

This paper proposes a contents-oriented cognitive network architecture as post-Internet. This architecture consists of three layers, that is, physical, semantic and application layers. Fluency function approximation-based unified coding of multimedia is one of key technologies. In semantic layer, both of cognitive function which corresponds to ldquointuition functionrdquo, that is, ldquopattern recognitionrdquo and logical processing are implemented. A contents-overlay, which consists of same kinds of contents based on the criterion of contents-similarity, can be formed. The unified coding of multimedia is effective for not only explosion of information but energy saving. Moreover, contents-overlay is effective for SPAM and for lightening the burden on network administrators.