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A multi-vehicle cooperative computing task unloading and transmission method is disclosed

A technology for computing tasks and transmission methods, applied in the field of wireless communication, can solve the problems of long time consumption and shortening waiting time for large files, and achieve the effect of shortening waiting time and shortening waiting time.

Active Publication Date: 2018-12-11
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] In order to solve the problem that the car takes a long time to download and process large files, this invention proposes a multi-vehicle collaborative computing task offloading and transmission method, through the coordinated processing of opposing vehicles, the waiting time for the required vehicle to obtain the processed file is shortened

Method used

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  • A multi-vehicle cooperative computing task unloading and transmission method is disclosed
  • A multi-vehicle cooperative computing task unloading and transmission method is disclosed
  • A multi-vehicle cooperative computing task unloading and transmission method is disclosed

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Embodiment Construction

[0040] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0041] Such as figure 1 Shown is the Internet of Vehicles scene of the embodiment of the present invention, specifically: a long-distance expressway scene, two-way four-lane, the speed range of the car driving on the road is 60km / h~100km / h, driving at a constant speed, the vehicle unit time The number of arriving RSUs follows a Poisson distribution with intensity λ. RSUs (Roadside Units) are deployed along the roads, and the RSUs do not completely cover the roads, and are separated by a large distance. All RSUs are connected to a background server through wired methods. Such as figure 1 As shown, the demand vehicle passes the RSU 1 Send a request to the server to obtain a certain service, due to the demand that the vehicle is in the RSU 1 The...

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Abstract

The invention discloses a multi-vehicle cooperative computing task unloading and transmitting method, which is applied in the field of vehicle wireless communication technology. To solve the time-consuming problem of downloading and processing large files in automobiles, the invention decomposes the service requested by the demanding vehicle into a plurality of sub-tasks, the opposite vehicle canreceive files after leaving the RSU coverage area through the cooperative calculation and transmission mode, and can continue to receive files without traveling to the next RSU, thus shortening the waiting time for the required vehicle to obtain and process the files. On the premise that V2V communication interference may occur during transmission, the method selects a group of vehicles without mutually exclusive vehicles and the files that can be undertaken meet the task requirements through the genetic algorithm, and obtains the corresponding calculation task unloading and transmission scheme, so that the waiting time for the required vehicles to obtain the complete processed files is the shortest.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a calculation task offloading and transmission technology. Background technique [0002] In order to solve the problem of huge consumption of computing and storage resources due to the explosive growth of terminals and applications, Mobile Edge Computing (MEC) technology deploys computing and storage resources at the edge of the network, under the premise of ensuring low latency, It not only solves the terminal device's demand for computing and storage resources, but also reduces the burden on the communication network. [0003] Currently, research on mobile edge computing includes: [0004] (1) Computing and storage resources are deployed at the base station (references: Zhang K, Mao Y, Leng S, etc. Mobile-Edge Computing for Vehicular Networks: A Promising Network Paradigm with Predictive Off-Loading[J]. IEEE Vehicular Technology Magazine, 2017,12(2)...

Claims

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Application Information

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IPC IPC(8): H04W4/44H04W4/46H04L29/08G06N3/12
CPCG06N3/126H04L67/06H04L67/10H04L67/108H04L67/12H04W4/44H04W4/46
Inventor 吴凡陈焱张科冷甦鹏马立香
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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