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Design and Implementation of Dynamic Management Network System for Automobile Inspection Based on Edge Network Management
  • Xianhong Cao
Xianhong Cao
Yunnan Province

Corresponding Author:[email protected]

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The information exchange methods currently used in the field of vehicle inspection are not in harmony with the social information construction environment, which hinders the interaction and flow of information. On the other hand, because a large amount of data collected by different types of sensors must be transmitted to edge computing nodes, dynamic vehicle detection will lead to network congestion and affect the calculation of edge computing nodes. Therefore, optimizing the data transmission between vehicles and edge computing nodes is a new challenge, which needs to be solved in the practical application of dynamic vehicle detection architecture based on edge computing. In this paper, we have considered the data requirements of dynamic vehicle detection in different environments, analyzed the optimization objectives and constraints, and proposed deviation detection and greedy algorithms to solve the problem of MILP solving the problem of long time and insufficient practical application, and evaluated the performance of the algorithm through simulation experiments using SUMO, a traffic flow simulation tool, and PreScan, a vehicle simulation test software. The results show that greedy algorithm is more suitable for practical application than deviation detection algorithm. The implementation of this system can improve the efficiency of vehicle detection and management, and has good application value.
28 Dec 2022Submitted to International Journal of Network Management
28 Dec 2022Submission Checks Completed
28 Dec 2022Assigned to Editor
28 Dec 2022Review(s) Completed, Editorial Evaluation Pending
28 Dec 2022Reviewer(s) Assigned
30 Jan 2023Editorial Decision: Revise Major
06 Feb 20231st Revision Received
01 Mar 2023Assigned to Editor
01 Mar 2023Submission Checks Completed
01 Mar 2023Review(s) Completed, Editorial Evaluation Pending
01 Mar 2023Reviewer(s) Assigned
27 Mar 2023Editorial Decision: Revise Minor
07 Apr 20232nd Revision Received
07 Apr 2023Submission Checks Completed
07 Apr 2023Assigned to Editor
07 Apr 2023Review(s) Completed, Editorial Evaluation Pending
07 Apr 2023Reviewer(s) Assigned
11 Apr 2023Editorial Decision: Accept