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Internet of Vehicles vehicle cluster task unloading method based on edge calculation

An edge computing and Internet of Vehicles technology, applied in the field of Internet of Vehicles, can solve problems such as vehicle load imbalance and large resource burden, and achieve the effects of enhancing road safety, improving the detection success rate, and increasing the amount of detection information

Active Publication Date: 2021-10-22
YUNNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, since the vehicles participating in the cluster detection will run many algorithms, this will bring a large resource burden to the vehicles, and may also cause unbalanced vehicle loads in the cluster

Method used

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  • Internet of Vehicles vehicle cluster task unloading method based on edge calculation
  • Internet of Vehicles vehicle cluster task unloading method based on edge calculation
  • Internet of Vehicles vehicle cluster task unloading method based on edge calculation

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Embodiment

[0044] In order to better illustrate the technical solution of the present invention, the application scenario and theoretical derivation of the present invention are briefly described first.

[0045] figure 1 It is a schematic diagram of an Internet of Vehicles vehicle cluster based on edge computing. like figure 1 As shown, when several vehicles are close to each other, they can be interconnected through a wireless network to form an Internet of Vehicles to share vehicle resources, and the cluster vehicle tasks can be offloaded to other vehicles for execution. Assuming that there are several vehicles forming a vehicle cluster, when the resource demand of a certain vehicle is greater than its own resource capacity, if the task offloading is not performed, the detection task of the vehicle will not be completed, and the task offloading is required to ensure the mission completed.

[0046] The advantage of vehicle cluster detection is that it can expand the detection range, ...

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Abstract

The invention discloses an Internet of Vehicles vehicle cluster task unloading method based on edge calculation, which comprises the following steps: firstly, collecting vehicle information in a vehicle cluster by a roadside unit (RSU), then carrying out task unloading analysis, determining a vehicle set needing task unloading, and carrying out task unloading on the vehicle set; calculating priority scores for the vehicles needing to be subjected to task unloading based on the number of vehicle neighbors, the resource balance degree and the number of tasks, performing priority ranking, and determining a task unloading target vehicle for each task in each vehicle needing to be subjected to task unloading in sequence, in the process, the resource matching degree of the task and the vehicle is calculated to determine the final task unloading target vehicle. Through task unloading, the detection task is completed to the maximum extent, the detection information amount is increased, the cluster detection success rate is increased, and the road safety is enhanced.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Vehicles, and more specifically, relates to an offloading method for vehicle cluster tasks of the Internet of Vehicles based on edge computing. Background technique [0002] In recent years, self-driving cars have received more and more attention from academia and industry. Large technology companies such as Tesla, Baidu, and Uber have invested in research and development, and some prototype vehicles have also been put into testing. Compared with traditional cars, self-driving cars are equipped with more sensors, diverse communication devices, and more powerful computing devices, but in order to ensure the safety of self-driving cars, they also need to undertake more calculations. For example, autonomous driving vehicles need to run algorithms such as target detection, road detection, and positioning to enable the vehicle to perceive the surrounding environment and make decisions to achiev...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/445G06F9/48G06F9/50H04L29/08
CPCG06F9/44594G06F9/4806G06F9/5061H04L67/12Y02D30/70
Inventor 张骥先韦远奎李伟东苏茜武浩阎萤娄文璐
Owner YUNNAN UNIV