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Vehicle-side collaborative task unloading scheduling and resource allocation method in Internet of Vehicles

A technology of resource allocation and Internet of Vehicles, which is applied in the field of task offload scheduling and resource allocation of vehicle-side collaboration in the Internet of Vehicles, which can solve problems such as insufficiency and limited edge processing capabilities, and achieve the effect of reducing equipment energy consumption and improving user experience.

Active Publication Date: 2021-07-16
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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AI Technical Summary

Problems solved by technology

[0004] Although edge computing can effectively solve the task processing problem of vehicle terminal computing-intensive applications, the edge processing capability is limited and cannot meet the needs of computing all tasks at the edge

Method used

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  • Vehicle-side collaborative task unloading scheduling and resource allocation method in Internet of Vehicles
  • Vehicle-side collaborative task unloading scheduling and resource allocation method in Internet of Vehicles
  • Vehicle-side collaborative task unloading scheduling and resource allocation method in Internet of Vehicles

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Embodiment 1

[0115] In this example, figure 1 Shown is a schematic diagram of a vehicle edge computing scenario model, which includes an RSU equipped with an edge server, a single vehicle user, and one task on the vehicle. The set of design computing tasks is τ={H 1 ,H 2 ,H 3 ,H 4 ,H 5 ,H 6 ,H 7 ,H 8 ,H 9 ,H 10}, I=10. Each task H i The amount of data to be processed is s i , each task H i The number of CPU cycles required to process each unit of data is c i . The vehicle's maximum CPU frequency is The transmission power of the vehicle is p l = 1w; the maximum CPU frequency of the edge server is Set the maximum completion time T of each task max =6s, the maximum execution energy consumption E max = 2 joules. During the driving process of the vehicle, the vehicle network channel is time-varying, which makes it impossible to accurately estimate the transmission delay. In order to estimate the transmission delay more accurately, this paper divides the road section into n...

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Abstract

The invention provides a vehicle-side collaborative task unloading scheduling and resource allocation method in the Internet of Vehicles. The method mainly comprises the following steps: 1, generating a task description set mu = Hi * the absolute value of i which is greater than or equal to 1 and less than or equal to I, Hi = (si, ci), and constructing a mathematical model P1 of task unloading scheduling and resource allocation in a network; 2, under the condition that the CPU frequency is given, solving a problem P1 based on a deep learning DQN algorithm, obtaining a task unloading scheduling decision (xi, alphai), and obtaining a target value V; 3, on the basis of the obtained unloading scheduling decision (xi, alphai), constructing a mathematical model P2, and solving a CPU frequency and a target value V' by adopting a gradient descent method;; 4, comparing the target value V with the target value V', if the difference value of V-V' is less than x, exiting, or repeating the step 2 and the step 3. By applying the method, the problems of task unloading scheduling and resource allocation optimization in the mobile vehicle edge network are solved, and the task execution time delay and energy consumption in the network are effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of wireless networks, and relates to a task unloading scheduling and resource allocation method for vehicle-side collaboration in the Internet of Vehicles. Background technique [0002] With the development of information and communication technology, the Internet of Vehicles (IoV) has attracted extensive attention from academia and industry. Traditional vehicle networks aim to improve driving experience and enable safety applications through data exchange for Vehicle-to-Everything (V2X) communication. In the 5G era, the concept of vehicle network has been extended to the Internet of Vehicles (IoV), and intelligent and interactive applications are realized through communication and computing technologies. A large number of in-vehicle applications can be implemented in IoV, such as assisted / autonomous driving and cabling, urban traffic management, and in-vehicle infotainment services. [0003] Although IoV ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/40H04W16/10
CPCH04W4/40H04W16/10Y02D30/70
Inventor 邝祝芳高坚黎松
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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