摘要
针对物联网环境下的社区划分问题,提出一种基于时序特征的社区划分算法.首先给出时序数据的相关定义;然后对物联网社区的时序数据进行预处理,提出了物联网社区划分算法,并进行了算法性能分析.通过实际网络社区数据的仿真实验表明该算法的高效性.
In order to solve service community dividing problems in the IOT environment, a new community partition algorithm which is based on timing characteristics on community was proposed. First, the paper gives the definition relevant to time series data; then presents timing data pre-processing schema. Finally, the proposed algorithm performance was analyzed. The simulation results show that the proposed algorithm is feasible.
出处
《计算机系统应用》
2012年第11期58-62,共5页
Computer Systems & Applications
基金
中国博士后基金(20100480701)
教育部人文社科青年基金(11YJC880119)
关键词
时序特征
区间模糊
物联网
社区
划分算法
timing characteristics
interval fuzzy
Intemet of things
community
partitioning algorithm