With the developing of the technologies in the field of the Internet of things, it is much possible to achieve more information about things scattered in a certain zone. Based on the Internet of things, the information zing and modelling of the logistical network are efficient methods for logistical services. In this paper, an approach for the state transition model of logistical network is put forward, in which the sets of key elements and their states, and as well as the correlations between and among the key elements with certain states are used as components to express the states and states transition of the logistical network.

In application of network technologies, the peer to peer technologies is becoming one of the hot spots in network research fields. In order to enhance the efficiency and effectiveness of the P2P network, a lot of architecture schemes for organizing the peers and the files in the P2P network are put forward which are mainly concentrated on the network characteristics of the peers and the file transmission. A P2P model based on the similarity of active peers is put forward. In the proposed model, the peers’ interests to the files are utilized to describe the similarities of the peers. By the similarities among the peers, the peer groups are clustered. Utilizing the representative clustering group, the interconnections among active peers are built according to the representative group selected by Hamming network.