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Internet of Vehicles mobility management method based on CDN and MEC

A management method and mobility technology, applied in inference methods, network data management, location-based services, etc., can solve problems such as service migration failure, failure to consider the relationship between vehicle mobility and VM migration, etc.

Active Publication Date: 2020-04-28
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] Current literature surveys recent research on managing virtual machine (VM) performance overhead and introduces approaches to cloud computing and VM migration, however, these schemes do not consider the relationship between vehicle mobility and VM migration
It will cause service interruption or service migration failure during the migration process

Method used

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  • Internet of Vehicles mobility management method based on CDN and MEC
  • Internet of Vehicles mobility management method based on CDN and MEC
  • Internet of Vehicles mobility management method based on CDN and MEC

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Embodiment Construction

[0059] In order to express the object, technical solution and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation cases.

[0060] Such as figure 1 As shown, L task vehicles V={v 1 ,v 2 ,...,v L}, containing k VMs, that is, vm={vm 1 , vm 2 ,...,vm k}, M roadside units RSU, including M edge nodes EN, each RSU deploys a MEC server, and multiple RSUs share a spectrum resource; the bandwidth W is divided into N channels; V-UE adopts orthogonal frequency division Multiple access access (OFDMA) is connected to the base station; the MEC server is deployed to the CDN edge node, and the global scheduling system of the CDN is used to schedule user requests to the globally optimal edge node according to the scheduling policy, which can solve the problem of limited MEC resources and uneven distribution. Even, there may be problems such as high concur...

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Abstract

The invention relates to the technical field of wireless short-distance communication in an Internet of Vehicles system, in particular to an Internet of Vehicles mobility management method based on CDN and MEC. The method comprises the following steps: when vehicle mobility management is performed under a CDN and MEC integration framework, determining a connection with an RSU by adopting a resource optimization principle, and processing a task generated by a vehicle through the connection; if the vehicle performs switching between RSUs, determining a switching position by adopting a dynamic channel allocation algorithm of overhead selection, and calculating the optimal vehicle switching time according to the switching position; if the vehicle is migrated, determining the computing resourceallocated to the vehicle by the MEC by adopting a cooperative game algorithm based on RSU scheduling, and solving the optimal price of the computing resource. According to the method, virtual machinemigration is carried out by adopting a cooperative game algorithm scheduled by roadside units, and a price control mechanism based on learning is developed, so MEC computing resources are effectivelyprocessed, the resource utilization rate is increased, and the overhead is reduced.

Description

technical field [0001] The invention relates to the technical field of wireless short-distance communication in an Internet of Vehicles system, in particular to a mobility management method for an Internet of Vehicles based on CDN and MEC. Background technique [0002] In the past decade, the Internet of Things (IoT) has attracted great attention from academia and industry, and the Internet of Vehicles (IoV), as a key branch of the Internet of Things, has become an indispensable part of intelligent transportation systems. With the advent of advanced in-vehicle applications, the need for high-speed computing and fast communication has become increasingly prominent. Technologies such as autonomous driving require high levels of data communication and computing. As an in-vehicle application, autonomous driving is at an unprecedented stage of development. However, autonomous driving is very sensitive to calculation and delay, and the current vehicle network system cannot meet ...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W4/44H04W4/46H04W4/80H04W8/02H04W36/00H04W72/12G06N5/04
CPCH04W4/023H04W4/44H04W4/46H04W4/80H04W8/02H04W36/0088G06N5/042H04W72/12H04W72/535
Inventor 张海波陶小方程妍
Owner CHONGQING UNIV OF POSTS & TELECOMM
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