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Data forwarding mechanism based on node function and node centricity

机译:基于节点功能和节点中心性的数据转发机制

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摘要

A crowd sensing network takes the use of the dense distribution, frequent encountering, and social property of mobile terminals in real society. In a crowd sensing network, the datasensing transmission is based on the collaborative opportunistic transmission, the final message data will be forwarded to the user who is willing to report data (e.g. high battery capacity and with low-cost Internet link equipment), and then report the perceptual data to the backdrop data center. In the mobile crowdsensing network, there is a big difference in the social ability of each node carrier, so that the data forwarding capability of each node is also different. In this paper, we first analyze the shortcomings of node based on node quantization. On these grounds, this paper proposes a data forwarding mechanism based on node function and node centricity, and gets its performance improved effectively, and reduces the energy consumption of nodes.
机译:人群感知网络利用了现实社会中移动终端的密集分布,频繁遭遇和社会属性。在人群感知网络中,数据传感传输基于协作机会传输,最终的消息数据将转发给愿意报告数据的用户(例如,高电池容量和低成本的Internet链接设备),然后向背景数据中心报告感知数据。在移动式感知网络中,每个节点载体的社交能力存在很大差异,因此每个节点的数据转发能力也不同。在本文中,我们首先分析基于节点量化的节点的缺点。基于这些理由,本文提出了一种基于节点功能和节点中心性的数据转发机制,可以有效提高其性能,降低节点能耗。

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