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Nodes Social Relations Cognition for Mobility-Aware in the Internet of Things

机译:物联网中感知移动性的节点社会关系认知

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摘要

In mobility-aware of Internet of Things (IOT), according to the problem of data-aware and data-transmit which casued by nodes mobility and random. We propose the nodes social relations cognition algorithm which based on social network. Firstly, we would quantize the social relation of all nodes by introducing interconnection factor and distance factor. Then, build cohesive subgroups and node-mobile probability tree to predict the trace of mobile nodes. Finally, we determine awareness service nodes in the objective regions, through trust-transference and probability calculation. Simulation experiment demonstrate that this method helps to resolve the problem of awareness hole in sparse networks, improving the way of date acquistion and increasing the quality of awareness service in IOT.
机译:在物联网感知移动性(IOT)中,根据节点移动性和随机性引起的数据感知和数据传输问题。提出了基于社交网络的节点社会关系认知算法。首先,我们将通过引入互连因子和距离因子来量化所有节点的社会关系。然后,建立内聚子组和节点移动概率树,以预测移动节点的踪迹。最后,我们通过信任转移和概率计算确定目标区域中的意识服务节点。仿真实验表明,该方法有助于解决稀疏网络中的感知漏洞问题,改善数据获取方式,提高物联网中的感知服务质量。

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