Optimal edge computing node selection method and system in Internet-of-vehicles environment

An edge computing and node selection technology, applied in the field of intelligent transportation, can solve the problems of waste of computing resources, low efficiency of vehicle computing tasks, and inability to allocate computing resources reasonably.

Active Publication Date: 2020-07-28
CHANGAN UNIV
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  • Claims
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Problems solved by technology

[0004] In the calculation process of the actual application of edge computing nodes, due to the differences in the data volume, maximum completion time, and CPU cycles required for calculation t

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  • Optimal edge computing node selection method and system in Internet-of-vehicles environment
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  • Optimal edge computing node selection method and system in Internet-of-vehicles environment

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specific Embodiment

[0098] According to an embodiment of the present invention, an optimal edge computing node selection method in the Internet of Vehicles environment, in practical applications, the base station coverage of the edge computing nodes overlaps, and there will be interference between different computing nodes, reducing the transmission rate; each The edge computing node has a base station, and the base stations between different nodes are connected by wires. The set of edge computing nodes is represented by N={1, 2, 3...n}; the set of vehicle computing tasks is represented by M={1,2 ,3...m} said.

[0099] The calculation task attribute of vehicle j is where D j Indicates the data volume of the computing task, C j Indicates the number of CPU cycles required by the base station server to calculate the task, Indicates the maximum time allowed to complete the task.

[0100] Matching degree of task data volume and node transmission speed J ij :

[0101] The amount of data D that ...

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Abstract

The invention discloses an optimal edge computing node selection method and system in an Internet-of-vehicles environment. The optimal edge computing node selection method comprises the steps of obtaining and analyzing vehicle computing task attributes in the Internet-of-vehicles environment; obtaining and analyzing attributes of different edge computing nodes; calculating the matching degree between the task attributes and the node attributes; analyzing calculation requirements of different tasks, and assigning weights to different types of matching degrees; and selecting a node with the optimal sum of the products of the matching degree and the weight as an optimal edge calculation node to calculate the vehicle calculation task. According to the method, rapid matching of vehicle computing task attributes and node attributes in the Internet-of-vehicles environment is achieved, the optimal edge computing node of the vehicle computing task is rapidly selected according to different computing requirements and matching results, the computing efficiency is improved, the computing requirements are met, and meanwhile node computing resources are saved.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, relates to a method for selecting an optimal edge computing node, and in particular to a method and system for selecting an optimal edge computing node in an Internet of Vehicles environment. Background technique [0002] At present, the substantial increase in the number of motor vehicles poses a challenge to the existing transportation technology in cities. The Internet of Vehicles is a complex system engineering that can realize the interaction between vehicles and roads, as well as between vehicles and the environment. [0003] In the process of providing computing services in the Internet of Vehicles environment, it is necessary to continuously receive and process the data information of the surrounding vehicles and the vehicle's sensors. Instead of going to the cloud, control will be done locally on the device, and processing will be done at the local edge computing laye...

Claims

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0125H04L67/12G06F9/5044G06F2209/501G06F2209/506G06F9/5027H04L41/0803
Inventor 胡卉刘富鑫王艳慧冯芷郁谌超峰
Owner CHANGAN UNIV
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