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Home > Archive>Volume 30, Issue S1, 2019 >71-81
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Trustworthy Data Collection Method Based on Edge Computing and Trust Value
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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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    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.

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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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  • Received:September 15,2019
  • Online: January 02,2020
Links:Institute of Software, CASChina Computer FederationCASNSFC
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