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《Journal of Anhui Normal University(Natural Science)》 2018-02
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The Method of Forwarding Node Selection Based on Bayesian Probability Tree Social Network

HUANG Shao-fen;WANG Yang;MENG Dan;ZHAO Chuan-xin;ZHAO Chen-xi;XU Shan-shan;FANG Qun;School of Computer and Information,Anhui Normal University;  
Selecting the appropriate forwarding nodes is one of the most critical issues which can achieve efficient transmission of messages. However,the main shortcomings of the existing studies are not fully considering the node 's social attributes and dynamics. Therefore,a Bayesian Probabilistic Tree Forward Node Selection( BFANS) method is proposed. Firstly,the node's social attributes are computed and communities are divided according to the probability of encounter. Then the Bayesian probability tree is constructed using the probability of node encounter. Finally,message transmission is carried out through two different ways:inner-community and inter-community. The experiment results show that the proposed method can improve the delivery success rate of messages and reduce average message delay and routing overhead ratio.
【Fund】: 国家自然科学基金项目(61572036);; 安徽省自然科学基金项目(1708085MF156);; 安徽省重大人文社科基金项目(SK2014ZD033);; 安徽省哲学社会科学规划项目(AHSKY2017D42)
【CateGory Index】: TN929.5
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