Trust-based mobile edge user task scheduling method

An edge user and task scheduling technology, applied in specific environment-based services, vehicle wireless communication services, communication between vehicles and infrastructure, etc., can solve the problems of being easily deceived, unable to evaluate trustworthiness, and unable to obtain mobile data Issues such as the interactive behavior of collectors, to achieve the effect of improving objectivity and accuracy, and increasing the rate of credible data collection
CN112738767AActive Publication Date: 2021-04-30CENT SOUTH UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
CENT SOUTH UNIV
Publication Date
2021-04-30

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Abstract

The invention discloses a trust-based mobile edge user task scheduling method, which selects a reliable user to execute a task by performing trust evaluation on a mobile edge user so as to realize optimization of task scheduling. The method is divided into two parts. The method comprises the following steps: 1, recruiting mobile edge users with high trust degree and low cost to execute tasks based on a greedy selection algorithm considering trust degree, thereby obtaining a credible evaluation result, accurately distinguishing the reliability of Internet of Things equipment in a network, and collecting data generated by reliable equipment; and 2, comprehensively applying an aggregation-based trust reasoning mechanism and an unmanned aerial vehicle-assisted active trust acquisition mechanism to perform trust evaluation and reasoning on the mobile edge users. An unmanned aerial vehicle is introduced to actively verify data uploaded by a mobile edge user, so that the accuracy of trust evaluation is improved. The trust-based task scheduling optimization method provided by the invention can effectively improve the recruitment performance of the cloud and reduce the recruitment cost.
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Description

technical field

[0001] The invention relates to a trust-based mobile edge user task scheduling method. Background technique

[0002] With the rapid development of the Internet of Things and 5G and higher networks, a large number of data-collecting and data-based applications have emerged. The rise of the Internet of Things combined with the current 5G and higher networks has caused major changes in the current network structure. On the one hand, a large number of computing resources are deployed at the edge of the network, so that data processing and analysis can be carried out at the edge of the network, reducing the energy consumption and delay of data upload to the cloud, and bringing better service quality to users. On the other hand, the acquisition of a large amount of data has rapidly increased the types of applications that can be built. Due to the richer frequency, breadth, and granularity of acquired data, the functions and scope of application provided by applica...

Claims

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