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| 基于边缘计算与信任值的可信数据收集方法 |
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邱磊1, 蒋文贤1, 李玉泽1, 於志勇2,3, 马樱4, 王田1,4
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1.华侨大学 计算机科学与技术学院, 福建 厦门 361021;2.福州大学 数学与计算机科学学院, 福建 福州 350108;3.福建省网络计算与智能信息处理重点实验室(福州大学), 福建 福州 350108;4.数据挖掘与智能推荐福建省高校重点实验室(厦门理工学院), 福建 厦门 361024
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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. |
| 关键词: 信任值 可信数据收集 边缘计算 物联网 移动路径 |
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| 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） |
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| Trustworthy Data Collection Method Based on Edge Computing and Trust Value |
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QIU Lei1, JIANG Wen-Xian1, LI Yu-Ze1, YU Zhi-Yong2,3, MA Ying4, WANG Tian1,4
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1.College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China;2.College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China;3.Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing(Fuzhou University), Fuzhou 350108, China;4.Key Laboratory of Data Mining and Intelligent Recommendation(Xiamen University of Technology), Xiamen 361024, China
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| 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. |
| Key words: trust value trustworthy data collection edge computing Internet of Things movement path |
