合肥工业大学数学学院
纸质出版:2017
移动端阅览
[1]夏茂晋,王青山,王琦,曹成,汪丽芳.基于团结构亲密度的移动社交网络数据转发算法[J].传感器与微系统,2017,36(02):127-130.
XIA Mao-jin, WANG Qing-shan, WANG Qi, et al. Data forwarding algorithm based on intimacy of group in mobile social networks[J]. 2017, 36(2): 127-130.
[1]夏茂晋,王青山,王琦,曹成,汪丽芳.基于团结构亲密度的移动社交网络数据转发算法[J].传感器与微系统,2017,36(02):127-130. DOI: 10.13873/J.1000-9787(2017)02-0127-04.
XIA Mao-jin, WANG Qing-shan, WANG Qi, et al. Data forwarding algorithm based on intimacy of group in mobile social networks[J]. 2017, 36(2): 127-130. DOI: 10.13873/J.1000-9787(2017)02-0127-04.
由于移动社交网络中不存在稳定的端到端连接
因此移动社交网络中的数据转发是一个重要问题。从节点的友好性角度出发
利用节点间的友好性
构造了节点间的团结构并利用团与节点、社区之间的亲密度
提出了一种基于团结构亲密度的数据转发算法(DFAIG)。基本思想是
数据包携带节点只有在本社区AP或者相遇节点与以目的节点为中心的团结构的亲密度达到一定要求时
才转发数据包给相遇节点。仿真结果显示:与著名的Epidemic
Label和SGBR相比
提出的算法在降低网络开销上具有明显优势
且有效地提高数据包传递率。
As intermittent and uncertain network connectivity in mobile social networks
data forwarding becomes an important problem. Based on the friendship of nodes
first constructs groups of nodes and then utilizing the intimacy of groups with nodes and communications
propose a data forwarding algorithm based on intimacy of group( DFAIG). The idea of DFAIG is that data packet carrier only forward data to encounter node its communication AP or the encounter node whose intimacy of group which takes destination node as center meets a certain requirement. Simulation results show that the algorithm has obvious superiority on reducing network overhead and also can significantly increase delivery ratio compared with Epidemic algorithm
Label and SGBR algorithm.
移动社交网络中基于影响力的数据转发算法 [J]. 刘艳萍,王青山,王琦,付沙沙,任丽丽. 合肥工业大学学报(自然科学版) . 2015(02)
Spray and forward:Efficient routing based on the Markov location prediction model for DTNs [J]. DANG Fei1,YANG XiaoLong1,2 & LONG KePing2 1 Research Center for Optical Internet and Mobile Information Networks(COIMIN),University of Electronic Science and Technology of China,Chengdu 611731,China;2 School of Computer and Communications Engineering,University of Science and Technology Beijing,Beijing 100083,China. Science China(Information Sciences) . 2012(02)
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