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Research On Internet Of Things Device Linkage Mechanism Based On Edge Cloud Collaboration

Posted on:2024-02-09Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y LinFull Text:PDF
GTID:2568306944458994Subject:Information and Communication Engineering
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With the rapid development of Internet of Things technology,Internet of Things services have penetrated into all aspects of production and life,and also made users to have higher requirements for the intelligence of Internet of Things services.In addition to providing its own functions,Internet of Things devices have a potential demand for the ability of devices to work together.This dissertation studies and designs the device linkage mechanism based on edge cloud collaboration and the privacy data protection mechanism in the device linkage service for the Internet of Things.The main work is as follows:Firstly,for the device linkage service of the Internet of Things,the device linkage scheme for a single platform is studied.Combined with the thing model design,a device linkage controller with rule engine as the core component is constructed,which realizes the allocation control of device linkage,and optimizes the storage of rule data.Based on the structure of the device linkage controller,the rule setting and rule triggering process of the device linkage service are designed,and the performance strength of the scheme is verified by experiments.Secondly,combined with edge cloud collaboration technology,on the basis of single platform device linkage scheme,the device linkage scheme based on edge cloud architecture is studied.For the rule triggering process in the device linkage service,the computational task is analyzed and the assignment problem is modeled,and a rule assignment method based on heuristic algorithm is proposed.Combined with the rule assignment scheme,the device linkage mechanism for edge cloud architecture is improved,and the system performance of edge cloud collaboration scheme is verified by experiments.Finally,a data protection mechanism based on tokenization technology is proposed to solve the problem of privacy data leaking in the device linkage service.By analyzing the risk of privacy leak in the device linkage service,a plaintext-token mutual conversion scheme is designed to avoid the transmission and processing of plaintext data in the service.The performance of the mechanism system is verified by experiments,the security of device privacy data is guaranteed without affecting the efficiency of the device linkage service.
Keywords/Search Tags:device linkage, rule engine, edge cloud collaboration, privacy protection
PDF Full Text Request
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