Reasearch On Human Mobility Charaterstics And Evolution For Information Dissemination Process In Opportunistic Networks

With the development of our society, we are living in an information society. We live in a mixed network environment, because the communication network, the Internet and sensor networks were integrated with each other. The rapid growth of portable equipment which ensured mobile users can achieve ubiquitous communication via wireless and network technology. Opportunistic network is an important direction in the research of mobile ad hoc networks. In the opportunistic networks, it does not need a complete link between the source and the destination, while it makes use of the encounter which brings by mobile behavior to achieve communications in the network. In the opportunistic networks which composed by human, we could use the human mobility to forward the information. And we use the "store-carry-forwards" mechanism in order to achieve communications between different nodes, which means that we use the encounter chance gived by human mobility to achieve communications with other nodes.In the information society, human are the carriers of mobile communication devices, so the analysis about the characteristic of human mobility has a significant impact on the research for improving the transmission performance of the network.The feature about the society networks which is based on the human mobility is similar to the opportunistic networks. And some metrics are used for measure the importance of one node in the opportunistic networks based on the human mobility. These metrics can be mainly classified to three aspects such as spatial properties, temporal properties and social properties. On the other hand, the characteristic of human mobility also have an influce on the evolution of the network topology. In recent years, the study of human mobility is one of the main focus of different subjects. In addition, the research that how the human mobility brings influence on the evolution of the networks is also the important point. However, in the study of such fields, researchers often use integrated networks to analysis the problem, but it does not reflect evolution of the real network.According to the above problem,the main contributeons of this paper can be list as follows:Firstly, making the research of the metrics for opportunistic networks which composed by human based on spatial properties, temporal properties and social properties. The existence of correlation between historical connection information between nodes is proved by this paper, which is according to the MIT’s data set.Secondly, the definition of probability about new edges connected is proposed by this paper. The historical connection time of node is combined in definition, which is proved by MIT’s data set.