最大化信息在信息物理网络中的传播机会

Hongliang Lu, Xuan Dong, Wenxiang Li, Shaohe Lv, Xiaodong Wang, Wei Chen
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引用次数: 0

摘要

我们的日常生活正在被智能物品所改变,比如智能手表、智能手机等。他们凭借丰富的感知、通信、计算等能力,将网络世界与物理世界融为一体。针对大范围的集成网络,提出了一种基于统计的策略来获得对象间的一种特殊链路,即统计概率通信链路。为了使信息在人群中传播的概率最大化,本文提出了一种分布式的、高效的DMPID算法,用于寻找面向人群的信息传播的子网络。DMPID算法考虑了选择的大小和信息的传播概率,并在这两个参数之间进行了平衡。扩展仿真表明,DMPID算法在不同的分布式网络中都具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximizing the information diffusion opportunity in the cyber-physical network
Our daily life is changing by the smart objects, such as smart watches, smart phones etc. They make the cyber world and the physical world integrated by their abundant abilities of sensing, communication and computation etc. Focusing on a wide range of the integrated network, a statistical based strategy was introduced to get a special kind of link between objects, the statistical probability communication link. To get a maximized information spread probability for grouped people, this paper introduced a distributed, yet efficient algorithm naming DMPID algorithm, for finding a sub-network to spread people oriented inforamtion. The DMPID algorithm take the size of the selection and the information spread probability into account, and made a balance between the two parameters. Extended simulation showed that the DMPID algorithm performs well in different distributed networks.
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