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。
Internet of Things (IoT) as an important and ubiquitous service paradigm is one of the most important issues in IoT applications to provide terminal users with effective and efficient services based on service community. This paper presents a semantic-based similarity algorithm to build the IoT service community. Firstly, the algorithm reflects that the nodes of IoT contain a wealth of semantic information and makes them to build into the concept tree. Then tap the similarity of the semantic information based on the concept tree. Finally, we achieve the optimization of the service community through greedy algorithm and control the size of the service community by adjusting the threshold. Simulation results show the effectiveness and feasibility of this algorithm.
Wang YangZhang LinjingHuang YakunZhao BaohuaZhao Chuanxin
