摘要
提出了一种节点社会关系衡量算法(NSRM)。首先,通过分析移动节点的社会关系特征提取决策特征属性,用于研究移动节点社会关系的动态变化;然后,结合信息熵和特征选择的方法对节点的决策特征属性进行权重分配;最后,根据权重分配的结果来衡量节点社会关系,进而基于社会关系选择最佳的中继节点转发数据。实验结果表明:该算法可以有效提高数据的传输效率,降低传输延迟和路由开销。
A node social relationship measurement algorithm(NSRM)was proposed.Firstly,by analyzing the social relationship characteristics of mobile nodes,the decision-making feature attributes were extracted to study the dynamic changes of mobile nodes’social relationships.Secondly,with the information entropy and feature selection methods combined,the decision-making feature attributes of nodes were weighted.Finally,the social relationship of nodes was measured according to the result of weight distribution,and then the best relay node was selected to forward data based on the social relationship.Experimental results show that this algorithm can effectively improve the efficiency of data transmission,reduce transmission delay and routing overhead.
作者
陈志刚
徐悦
张立中
冯国礼
CHEN Zhigang;XU Yue;ZHANG Lizhong;FENG Guoli(School of Computer Science,Central South University,Changsha 410008,China;Information and Telecommunication Brane,State Grid Ningxia Electric Power Co.Ltd.,Yinchuan 753000,China)
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2021年第2期79-84,共6页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(61672540)
中南大学基础研究基金资助项目(2020zzts597)。
关键词
机会网络
特征选择
中继节点
社会关系
数据传输
opportunity network
feature selection
relay node
social relations
data transmission