Research On Information Forwarding Strategy With Social Characteristic In DTN Environment

Many researchers have focused on delay tolerant networks(DTN) with thedevelopment of mobile devices and wireless network technique. Because ofunsustainable of end-to-end connectivity, traditional wireless routing is not suitablefor DTN environment. Some research efforts indicated that human carry thehand-held device with wireless networks, so the networks have many Sociologycharacteristics, also known as social networks. Some social network routingalgorithms have been proposed and improved by researchers.Traditional DTN network thinks nodes are random walk, with unpredictable. Sothe suggested routing protocols like Epidemic, Spray and Wait(SAW), MaxPro arejust wait-forwarding information transfer mode. And DTN network with socialcharacteristics, carrier of the node is human, its mobile presents a sociologicalcharacteristics, so is not unpredictable, the movement of the intimate connection withhuman social activities. Cambridge imote Data set and Dartmouth Data set recordhuman movement carry with mobile device in the real social life. Intuitive provedDTN network with social characteristics mobile node has a track record. With thedevelopment of the mobile device functionality and portability, social network’s sizein DTN environment will be bigger and bigger, therefore put forward forwardingstrategy also has social features is particularly necessary.In this paper, we analyzed the characteristics and shortages existing in traditionalDTN network, studied the sociological characteristics of human movement and theproblem. The current research aiming at social features in DTN network is dividedinto measures analysis, mobile model analysis, algorithm analysis and experimentalanalysis, measures analysis expressed characteristics of human sociology in formula.mobile model analysis don’t according to the random walk model analyze nodes movement, but according to the characteristics of human social activity was simulated.Algorithm analysis is DTN forward information strategy with social features.Experimental analysis analyzed human behavior characteristics in DTN environmentin real life. This paper, under the premise of the social network, studied theinformation distribution strategy, and achieved some results, the core content is asfollows:1. This paper introduces the features of traditional DTN network and the lateststatus of DTN network with social characteristics, and analyzed the characteristicsand shortages of traditional DTN network.2. Classification and expounds the current status of study on social networks inDTN network, and analyzed some problems.3. In view of global and local node positioning is difficult in DTN environment,topology has poor timeliness issues, innovative use of the social relationship diagramreplace the topology to describe relations between nodes in the network, with trainingtime, make the social relationship figure to achieve the purpose of close to the realsituation.4.In this paper, we use the interest information between users alternative node id,use frequency of contact, contact strength and contact regularity measure index toRedefine social relations, proposed forwarding strategy with social characteristic inDTN environment--SocialRank.5. In ONE simulation platform, we will Comparing SocialRank and classicalmeasure like Betweenness, Closeness, proving its ability to cover the global.Compared with classical algorithm, in delivery rate, latency, etc all have goodperformance.In conclusion, we propose a solution for information forwarding strategy withsocial characteristic, for research and development DTN network have a certaintheoretical value and research significance.