An Efficient Edge Computing Migration Method for Internet of Vehicles Applications

An edge computing and Internet of Vehicles technology, applied in specific environment-based services, communication between vehicles and infrastructure, advanced technology, etc., can solve problems such as delay requirements without considering ECD energy consumption, and achieve computing migration The results are objective and credible, reducing energy consumption and ensuring the effect of normal migration

Active Publication Date: 2021-09-28
上海畅星软件有限公司 +1
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the fact that the current Internet of Vehicles computing migration technology only considers the delay requirement and does not consider the ECD energy consumption problem, this invention proposes an efficient edge computing migration method for Internet of Vehicles applications, aiming at more and more Internet of Vehicles applications , according to the information of the vehicle and ECD, a calculation migration strategy can be proposed in real time, which can not only meet the needs of vehicle calculation delay and energy consumption, but also enhance the user's Internet of Vehicles service experience

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An Efficient Edge Computing Migration Method for Internet of Vehicles Applications
  • An Efficient Edge Computing Migration Method for Internet of Vehicles Applications
  • An Efficient Edge Computing Migration Method for Internet of Vehicles Applications

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] Below in conjunction with accompanying drawing, technical scheme of the present invention will be further described:

[0058] An efficient edge computing migration method for Internet of Vehicles applications, such as figure 1 As shown, it specifically includes the following steps:

[0059] S1. Obtain the current location information of the vehicle in the Internet of Vehicles and the application requirements of the migration task generated by the vehicle; the specific operations are as follows:

[0060] S11. Suppose a total of M vehicles are driving on a road, and the x-y coordinate system is used to represent the road area. Define the Internet of Vehicles area A={(x,y)|0≤x≤X, 0≤y≤Y}, C= {c 1 ,c 2 ,...,c M} represents the set of vehicles, c m Indicates the mth vehicle in area A, c m Coordinate cp at time i m,i for:

[0061] cp m,i =(cpx m,i ,cpy m,i ) (16)

[0062] Among them, cpx m,i Denotes vehicle c at time i m The abscissa position in area A, cpy m,i ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides an efficient edge computing migration method for the application of the Internet of Vehicles, which includes the following steps: S1, obtaining the current location information of the vehicle in the Internet of Vehicles and the application requirements of the migration tasks generated by the vehicle; S2, obtaining all information in the Internet of Vehicles The location information of the edge computing nodes and the computing resources of the edge nodes; S3. According to the distance between the vehicle and the edge computing nodes and the application requirements of the migration task, filter out the unqualified edge computing nodes; S4. Calculate each The time and energy consumption required for the migration strategy; S5. Obtain the optimal calculation migration strategy through a simple weighting method and a multi-criteria decision-making algorithm. The method of the invention not only satisfies the computing power and computing delay requirements of the computing task, but also reduces the energy consumption of the edge computing node to the greatest extent, and improves the utilization rate of the edge computing node.

Description

technical field [0001] The invention relates to an efficient edge computing migration method, belonging to the technical field of mobile edge computing. Background technique [0002] With the continuous development of the transportation industry and people's extensive attention to traffic safety, the Internet of Vehicles (IoV) has gradually developed. As one of the main applications of the Internet of Things, the Internet of Vehicles better realizes the information interaction between vehicles, between people and vehicles, and between vehicles and roadside units (Roadside Units, RSUs), greatly improving traffic safety. With the continuous popularization of the Internet of Vehicles, the applications based on this are also increasing, especially many applications that require high computing power and response delay. At present, the requirements of many applications have far exceeded the computing and processing capabilities of the vehicle itself. . [0003] When mobile cloud...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/44H04W4/70H04W28/08H04W40/04H04W40/10
CPCY02D30/70
Inventor 许小龙刘庆祥李袁成薛原陈裕豪
Owner 上海畅星软件有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products