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时间演化图的机会传感网络连通均衡性模型
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国家自然科学基金（61363015，61762065）；江西省自然科学基金（20171ACB20018，20171BAB202009）


The Connected Equilibrium Model for Opportunistic Sensor Networks Based on Temporal Varying Graph
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    摘要:

    网络连通是网络正常通信的保证，网络连通均衡性是反映网络连通情况的一项重要指标.机会传感网络的拓扑随时间动态变化，使得传统的图模型不再适用于机会传感网络，如何准确刻画机会传感网络的连通均衡程度是研究的目的.定义移动节点的贡献度、聚集系数和连通均衡度，采用连通均衡度表征整个网络的连通均衡情况，基于时间演化图对机会传感网络连通均衡性进行建模.仿真实验结果表明，连通均衡性模型可以反映出整个网络的连通均衡情况，为机会传感网络的演化研究及维护提供支撑.

    Abstract:

    Connectivity is the guarantee of network communication, and connective equilibrium is an important indicator of the network connectivity. With the frequent changes of topology of opportunistic sensor network, the traditional graph model is not applicable for modeling opportunistic sensor network. This paper aims at how to accurately depict the connective equilibrium degree of opportunistic sensor network. The contribution degree and clustering coefficient of Ferry nodes are defined, and connective equilibrium degree is defined as well, which can reflect the connectivity balance of the network. The connective equilibrium model of opportunistic sensor network is proposed based on the temporal varying graph. The simulation results show that the proposed model can reflect the connective equilibrium of the network. Furthermore, it can provide an effective support for exploiting involution and maintenance of opportunistic sensor network.

    参考文献
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江文良,舒坚,孟令冲,刘琳岚.时间演化图的机会传感网络连通均衡性模型.软件学报,2017,28(s1):61-70

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  • 收稿日期:2017-05-15
  • 在线发布日期: 2017-12-15
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