Research Of Routing Algorithm Based On Node Mobility In Opportunistic Network

In the wake of information technology and network technology, the requirement of data communications gradually increases. Most of the data and the information can be effectively transmitted through the traditional routing and the switching network. But when the data is transmitted to the remote mountainous areas, which are difficult for the network setting in the environments such as rivers and lakes, In order to allow these devices to be effective networked, according to a certain mechanism, The opportunity network and related routing algorithm are introduced for that. The applications may be developed for wild-life tracking, carborne-network and the pocket-switched-network devices. Due to the different environments, or different types of processed information, the mechanism of the opportunity to have different characteristics to deal with the complex and changeable movement model of mobile nodes.Compared with other networks, the mobile PSN has higher research value and practical space. In order to study the movement model of PSN, it’s necessary to start the research with the observations of the mobile law of nodes. For mobile nodes, the information gathered mainly comes from the historical movement of nodes, which mainly depends on the node detections. One of the PSN features is that the mobile nodes are mainly composed of humans, so that the mobile history information is more valuable than other opportunities in the network application scenarios. In order to grasp the historical information of node movement, the MDIR(Mass-group Detected by Interest-value Routing) algorithm is proposed to introduce the concept of communities, and the node is associated with other nodes by movement law. In theory, the movement of nodes in the social network can be attributed to a moving process in different societies. In this algorithm, the message is more likely to be forwarded to the community containing the target node. In addition, considering the dynamic social relations, the algorithm also introduces the concept of Interest-Value to update the community structure in the network topology. MTBR(Mobile-Tendency Based Routing) algorithm is also proposed in this paper, which is focused on detect node mobile tendency in social network. In order to deal with the complex and changeable opportunity network environment, M-T(Mass or Tendency) strategy comes up.Experimental results show that under different network environments, compared to Epidemic, BDCR and SREP algorithms, MDIR algorithm produced lower forwarding energy consumption and higher reliability by calculating utility values for routing forwarding, and MTBR algorithm can effectively use the mobile tendency of nodes.