The DTN Routing Research Based On Multi-regions Social Network

The most widely used Internet uses a TCP/IP protocol currently, which uses end to end manner to send and receive messages. But with the development of science and technology, a variety of further spread of new communication equipment, so that the traditional network further expanded. In some special applications, such as wildlife tracking, ocean exploration, satellite communications, remote area communications, network nodes become very sparse and difficult to send and receive packets to meet end to end manner. In order to achieve network connectivity on these occasions, it presents a new network architecture, which is DTN (DTN:Delay Tolerant Networks).The main features of the DTN are the nodes location, which is constantly changing, that is, the dynamic network topology. It caused the connection between nodes has a discontinuity, a huge packet transmission delay time, the data rate of non-symmetry and other characteristics. Measure the performance of the DTN include: packet delivery ratio, the transmission delay time, network overhead and so on.Social network is a special kind of network, its composition mainly by cars, people, and other transporting equipment, which carried by mobile communications equipment. As mobile phones and other wireless mobile communication devices popular, social networking has become a hot DTN network research direction. In the social network, for each node after a number of social areas and the residence time in each different area, this paper presents the degree of social activity (SA:Social activity) routing algorithm.Based on the composition of multi-regional characteristics of social networks, this paper presents the following methods:1. We explore the nodes, which construct multi regional social networks. As in the real world, the city is constituted by a number of communities, and the community is constituted by peoples and transporting equipments, so the city can be seen as a major social networks, community as a small area, people and traffic tool as the network node. Such a social network in the city, the node mobility pattern is not random, the area size of node mobility and length of stay in one region are all different. So it's important to determine the level of nodes activity, which has great significance to the routing algorithm.2. According to the different nodes activity, this paper presents the routing research based on nodes activity. So the node which through the area is most and the time it stay in the area is shortest has the highest activity degree of node and this node as a forwarding node.3. We use the ONE simulator to build simulation platform. And we use the ONE to simulate the proposed algorithm, and then give the final simulation results and conclusion.