| The pace of network convergence has been on the rise all the time. With the developing of compute technology, diverse smart devices have been accessing in network increasely. "Things" as a special dimension is introduced into information sphere in order to perform "always on" communication further so that contribute to the birth of internet of things (IoT) which is a form of network with respect to new concept in things connection in inter-link with each other. Such a network can be abstracted as a kind of hybrid agent-based intelligent network.Assessing from its background and trend of developing, systematical research on IoT has been introduced in this paper including mechanism, feature, framework, structure, intelligentization as well as networking and relative technologies combining with practice. Based on these discussions, a rudimentary modeling has been done to formulate network intelligence organizing under IoT environment so as to further the research on its materialization. Deriving from the works on classification for agent, cooperative strategy is proposed strategy for synthetic organization in hybrid agent-based intelligent network with the design involved with addressing, decoding, protocol, interaction as well as the network pattern recognition and inference based on sign learning under data communication network environment. Relative scheme and system has been composed. An experiment under CIM(City Information Model)network scene is given to simulate the approached strategy in organization. Simulation has been given also to analyze its implementation so as to induct direction for future work. |