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Traffic pollution emission mobile edge calculation scheduling method based on information physical system

A cyber-physical system and edge computing technology, applied in the field of Internet of Vehicles applications, can solve the problems that roadside units cannot realize such services, and achieve the effect of flexible computing

Pending Publication Date: 2020-05-12
BEIJING UNIV OF TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Fixed RSUs are not capable of such services at this time

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  • Traffic pollution emission mobile edge calculation scheduling method based on information physical system
  • Traffic pollution emission mobile edge calculation scheduling method based on information physical system
  • Traffic pollution emission mobile edge calculation scheduling method based on information physical system

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Embodiment Construction

[0080] The mobile edge computing scheduling method for traffic pollution emission based on the cyber-physical system of the present invention will be further described in detail below with reference to illustrations.

[0081] The algorithm model of the present invention is based on certain assumptions, which include:

[0082] Assumption 1: Dispatching vehicles are all intelligent vehicles, which have functions such as perception, calculation, control, and communication.

[0083] Assumption 2: Assume that each task arrives at the process is an update process.

[0084] Assumption 3: Assume that the virtual car executes the task sequence according to the first-come-first-served (FCFS) policy

[0085] The mobile edge calculation example of traffic pollution emission described in the technical method of the present invention is only an example of the present invention. Smart cars can also perform traffic information such as vehicle position, speed, and density on the road and ...

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Abstract

The invention discloses a traffic pollution emission mobile edge calculation scheduling method based on an information physical system, designs a mobile edge calculation system architecture based on the information physical system, and performs virtualization abstraction on an intelligent vehicle. Task queue modeling is carried out according to calculation task requirements of a specific place; based on a distributed strategy, Voronoi algorithm realization is provided for an intelligent vehicle task allocation problem. For an Internet of Vehicles edge computing scene, an intelligent vehicle isproposed to arrive at a specified road section to collect vehicle information, a VSP model is deployed and applied to perform a traffic pollution emission computing task, a case simulation experimentis performed, and a result shows that the method is effective. Practical application of mobile edge calculation in the Internet of Vehicles improves the scheduling efficiency of intelligent vehiclesand provides theoretical support for promoting stable operation of the system.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles application, in particular to a system scheduling method based on a queuing model and a Voronoi algorithm, which is used for scheduling smart vehicles to perform mobile edge computing tasks such as traffic pollution discharge in a road network. Background technique [0002] In recent years, cloud computing and its services have been widely used in various fields, resulting in huge commercial and economic value, and have been generally recognized by people. Cloud computing abstracts CPU, memory, storage, I / O, network and other resources into a dynamic resource pool through virtualization technology, and provides users with on-demand computing service paradigm. [0003] In the field of intelligent transportation, the Internet of Vehicles (IOV) is a huge information interaction network composed of vehicle information, road information, and environmental information in the road network. I...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20H04L29/08
CPCH04L67/10H04L67/12
Inventor 张利国张珂
Owner BEIJING UNIV OF TECH
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