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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.
In opportunistic sensor networks, node mobility leads to dynamic changes in connectivity, which makes the research on the connectivity applied to static networks not directly applicable to opportunistic sensor networks. It is particularly important to characterize the network connectivity based on the characteristics of opportunistic sensor networks. The definition of regional connectivity and Ferry node connectivity, analysis of its influencing factors, through experiments, the use of gray incidence analysis to screen out the main factors.Finally stepwise regression analysis of the regional connectivity and Ferry node connectivity to obtain mathematical Model, and builds a network connectivity model based on it, which provides a basis for characterizing the network connectivity.The experimental results show that the network connectivity model can better reflect the connectivity of the network.