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Data Forwarding Algorithm Based On The Similarity And Activity Of Nodes In Mobile Social Networks

Posted on:2016-05-20Degree:MasterType:Thesis
Country:ChinaCandidate:J M WangFull Text:PDF
GTID:2308330473461284Subject:Computational Mathematics
Abstract/Summary:PDF Full Text Request
The Delay Network (Delay Tolerant Network, DTN) refers to a special kind of wireless Network. Because in the network, the end-to-end path is often difficult to establish,so the news spread has a great deal of time delay in the network.The main application of Marine monitoring, satellite communications, network and mobile social network, the military network, remote communication etc.Mobile social network is a new research hot-spot in wireless communication field in recent years, Data fax algorithm is an important aspect of the mobile social network research.Because people move in mobile social network has a certain regularity, so through the analysis of the dynamic change of network, the dynamic characteristics of the individuals in the network, and the contact between them and has more practical meaning to study the mobile social network.The main contribution of this paper is proposed a kind of similarity based on node and the effectiveness of active forwarding algorithm from the Angle of the node together form the social property. First, this paper found that users usually have several often mobile area, they are not moving randomly from the actual tracking file in mobile social networksAccording to the law of our community network model is established.We put forward the points of similarity and active degree of these two concepts, in view of the actual situation is put forward based on the similarity and the effectiveness of active nodes forward algorithm, its core idea is that in the process of data forwarding, the packet is carried through the comparison of similarity and active node to meet to decide whether to choose network node as the data forwarding, by reducing the number of network data packets energy optimization.Finally, The experimental results show that our algorithm can obviously reduce the overhead of network resources compared with the famous Epidemic, Label algorithm and Greedy Total algorithm.. The passing rate is superior to the Label at the same time.
Keywords/Search Tags:Mobile social networks, Similarity, Activity, Community, Neighbor
PDF Full Text Request
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