一种基于社团结构的CPS节点协同感知方法  

A method of collaborative awareness based on community structure in CPS

作　　者：周有为[1] 杨强[1] 

机构地区：[1]国防科学技术大学信息系统工程重点实验室,湖南长沙410073

出　　处：《电子设计工程》2011年第14期32-34,共3页Electronic Design Engineering

摘　　要：为解决信息物理融合系统(Cyber-Physical System,CPS)中单个节点认知能力有限,感知的数据存在不确定性的问题,提出一种基于社团结构的CPS节点协同感知方法。首先运用复杂网络中的凝聚算法对CPS节点感知网络进行社团划分,确定每个社团内部的中心节点,然后运用观点动力学中的多数决定模型模拟社团内部节点感知状态的演化,实现社团内部节点感知状态的协同,最后进行社团之间的协同,使整个网络感知状态达到一致。该算法的时间复杂度低,收敛速度快,CPS节点感知网络能够形成对事件快速,可靠的判断。In order to solve the problem of a single node＇s finite and uncertain capability of awareness in Cyber-Physical System（CPS）,a method of collaborative awareness based on community structure was giren.First,we use the agglomerative method to divide the node network into different communities and choose the central node in each community,then we use the majority rule model to simulate the evolvement of the nodes＇ opinions in the same community.Finally,we can carry out the consistent opinion of the whole node network.The time complexity of this method is low and the convergent time is fast,the node network can quickly and precisely give the judgement of event.

关 键 词：信息物理融合系统 协同感知 社团结构 观点动力学 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]