机会传感网络连通度影响因素与连通度模型

Connectivity Influencing Factors and Modeling for Opportunistic Sensor Networks

机会传感网络中,节点移动导致其连通度呈动态变化,使得应用于静态网络的连通度研究方法不能直接应用于机会传感网络,针对机会传感网络的特点刻画网络连通程度尤为重要.为此,定义了区域连通度和Ferry节点连通度,分析其影响因素,通过实验,采用灰关联分析法筛选出主要因素.通过逐步回归分析对区域连通度和Ferry节点连通度进行拟合,获得数学模型,在此基础上构建了网络连通度模型,为刻画网络连通度提供了依据.实验结果表明,该网络连通度模型能够较好地反映网络的连通性.

Connectivity and guarantee of communication is important for networks. In opportunistic sensor networks（ OSNs）,the dynamic connectivity leads to the fact that methods applied to research the static networks are unsuitable for OSNs. It is significant for the connectivity by analyzing the network features.For building a connectivity model of OSNs,the concepts of regional connectivity（ RC） and the Ferry connectivity（ FC） were defined,and their influencing factors were analyzed. The major factors were selected by using gray relation analysis（ GRA） based on large number of experiment data. Furthermore,the mathematical definitions of RC and FC were obtained by regression analysis. In terms of RC and FC,the network connectivity model is constructed,which provides the basis for describing the network connectivity. Experiment shows that the proposed connectivity model can describe the connectivity of OSNs preferably.