基于博弈论的物联网语义社区演化模型  

IOT Semantic Community Evolution Model Based on Game Theory

作　　者：王杨[1] 张林静[1] 黄亚坤[1] 赵传信[1] 陈付龙[1] 

机构地区：[1]安徽师范大学数学计算机学院,安徽芜湖241000

出　　处：《计算机工程与科学》2012年第9期123-127,共5页Computer Engineering & Science

基　　金：中国博士后基金(20100480701);教育部人文社科青年基金项目(11YJC880119)

摘　　要：针对物联网环境下的语义社区演化问题,提出了一种基于博弈论的语义社区动态演化模型。首先给出物联网语义社区(Internet of Things Semantic Community,ITSC)的定义和特征;然后提出了一种基于动态博弈论的物联网语义社区演化模型,给出了物联网语义社区预处理算法(SCPA)、博弈节点选择算法(GNSA)、基于博弈的语义社区演化算法(GTEA)及算法的性能分析。通过实际网络社区数据的仿真实验表明,演化模型能够真实地反映物联网语义社区的演化规律。In order to discover the evolution principle of the semantic community in the Internet of things （IOT） ,a new semantic community evolution model based on game theory is proposed. The concept of the Internet of Thing Semantic Community （ITSC） and its characteristics are presented. Then a dynamic game theory based ITSC evolution model is proposed. The Semantic Community Preprocessing Algorithm （SCPA） ,the Game Node Strategy Selection Algorithm （GNSA） and the Game Theory based semantic community Evolution Algorithm （GTEA） are given. In addition,we also perform the performance analysis about these algorithms. The experiment results show that the proposed model can reflect the basic principle of the semantic community in the IOT. Meanwhile,the simulation results also indicate that the proposed algorithm is effective and feasible when the actual network data set is input.

关 键 词：物联网 语义社区 博弈论 演化模型 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]