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基于边缘计算与信任值的可信数据收集方法
作者:
作者简介:

邱磊(1994-),男,湖北十堰人,硕士生,主要研究领域为边缘计算,无线传感器网络;蒋文贤(1974-),男,副教授,CCF专业会员,主要研究领域为物联网,网络安全,区块链;李玉泽(1994-),男,主要研究领域为边缘计算,无线传感器网络;於志勇(1982-),男,博士,副教授,博士生导师,CCF专业会员,主要研究领域为普适计算,移动社交网络,群智感知;马樱(1982-),男,博士,副教授,CCF专业会员,主要研究领域为数据挖掘,物联网,人工智能;王田(1982-),男,博士,教授,CCF高级会员,主要研究领域为物联网,云计算,雾计算/边缘计算,网络信息安全,软件安全,社交网络.

通讯作者:

王田,E-mail:wangtian@hqu.edu.cn

基金项目:

数据挖掘与智能推荐福建省高校重点实验室开放基金（DM201902）；福建省网络计算与智能信息处理重点实验室开放课题；福建省社会科学规划基金（FJ2018B038）；福建省自然科学基金（2018J01092）；华侨大学研究生科研创新基金（17014083012）


Trustworthy Data Collection Method Based on Edge Computing and Trust Value
Author:
Fund Project:

Open Fund of Key Laboratory of Data Mining and Intelligent Recommendation, Fujian Province University (DM201902); Open Foundation of Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing; General Projects of Social Sciences in Fujian Province (FJ2018B038); Natural Science Foundation of Fujian Province of China (2018J01092); Subsidized Project for Postgraduates' Innovative Fund in Scientific Research of Huaqiao University (17014083012)

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  • 参考文献 [24]
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    摘要:

    物联网应用中，底层传感网所采集的数据是上层决策的基础和一切应用的根本.如果收集的数据本身就是有问题、不可信的，这将使得上层的数据保护和应用成为空中楼阁.为了解决数据不可信的问题，提出了基于移动边缘节点的可信数据收集方案.通过对节点的评估，将节点的信任值用于路径选择，采用移动边缘节点来充当移动元素，访问可信的簇头节点，从而实现高效的可信数据收集.对所提出的基于效用值的可信数据收集算法（UTDC）进行了理论分析和广泛的模拟实验.实验结果表明，所提出的基于效用值的可信数据收集算法可以很好地避开不可信的节点，有效降低了网络延迟，延长了网络的生命周期.

    Abstract:

    In the internet of things application, the data collected by the underlying sensor network is the basis of the upper decision and the foundation of all applications. If the collected data itself is problematic and untrustworthy, this will make the upper level of data protection and application a castle in the air. In order to solve the problem of untrustworthy data, a trustworthy data collection scheme based on mobile edge nodes is proposed. Through the evaluation of the node, the trust value of the node is used for path selection, and the mobile edge node is used as a mobile element to access the trustworthy cluster head node, thereby achieving efficient and reliable data collection. Theoretical analysis and extensive simulation experiments are carried out on the proposed trustworthy data collection algorithm based on utility value (UTDC). The experimental results show that the proposed trustworthy data collection algorithm based on utility value can avoid untrustworthy nodes, effectively reduce network delay and prolong the life cycle of the network.

    参考文献
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    附中文参考文献:
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邱磊,蒋文贤,李玉泽,於志勇,马樱,王田.基于边缘计算与信任值的可信数据收集方法.软件学报,2019,30(S1):71-81

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  • 收稿日期:2019-09-15
  • 在线发布日期: 2020-01-02
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