Distributed processing of mass cognitive information based on cognitive engine framework

Abstract

This paper creates new thinking on distributed processing of the statistics of cognitive base station provided by new embedded real-time database Berkeley DB. An innovative cloud storage strategy for multiple base stations' real-time measurement information, proposed in this paper, is to achieve primary user's accurate statistics. The presented framework will give a macroscopic view of mass cognitive information processing in the cognitive radio networks by taking new distributed cognitive engine framework with Hadoop cluster multi-nodes and will also provide insight into future works of the revolutionary networks.