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Mobile edge computing unmanned aerial vehicle group auxiliary communication method for explosive flow

An edge computing and auxiliary communication technology, applied in wireless communication, vehicle wireless communication services, computing, etc., can solve problems such as limited service range, impact on user experience quality, limited computing resources and batteries of a single drone, and extend service The effect of duration and minimization of energy consumption

Active Publication Date: 2019-12-20
GUANGDONG UNIV OF TECH
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

In the current existing technology, only a single UAV is considered to provide services. In this case, the computing resources and battery of a single UAV are limited, which cannot meet the needs of multiple users and seriously affect the quality of user experience.
A few consider the scenario where multiple drones provide services, but they are only used as air base stations, and do not consider providing edge computing services for users, and hovering drone aerial base stations have limited service range, and mobile drone services Wider range reduces the number of drones required under the same conditions

Method used

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  • Mobile edge computing unmanned aerial vehicle group auxiliary communication method for explosive flow
  • Mobile edge computing unmanned aerial vehicle group auxiliary communication method for explosive flow
  • Mobile edge computing unmanned aerial vehicle group auxiliary communication method for explosive flow

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Embodiment Construction

[0067] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0068] Such as Figure 1-7 As shown, a mobile edge computing unmanned aerial vehicle swarm-assisted communication method for explosive traffic includes the following steps:

[0069] Step 1: Predict the distribution of ground computing demand;

[0070] If an appropriate number of UAV groups can be deployed on demand and ground users can be reasonably partitioned, it is necessary to predict the distribution of ground computing requirements. Introduce the pattern search algorithm to improve the PSO-BP neural network, combine the local search ability of the pattern search algorithm, and integrate it into the PSO-BP algorithm as a local search operator; propose a PSO-BP algorithm that introduces the pattern search operator, using the pattern The search algorithm optimizes t...

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Abstract

The invention discloses a mobile edge computing unmanned aerial vehicle group auxiliary communication method for explosive traffic, which is responsible for providing computing service for users withcomputing requirements on the ground when a network is congested. Firstly, in the prediction part, an improved PSO-BP neural network is used for predicting the calculation demand distribution situation of a target area, and unmanned aerial vehicles supporting mobile edge calculation are deployed as required; secondly, a demand partitioning part is calculated, a target area is partitioned based ona fairness principle, and each unmanned aerial vehicle serves users in a sub-area; and finally, the unmanned aerial vehicle energy optimization part in each sub-region performs joint optimization on the unmanned aerial vehicle calculation frequency and the unmanned aerial vehicle flight path on the premise of meeting the user calculation requirement, so that the energy consumption of the unmannedaerial vehicle in each sub-region is minimum, the energy consumption of the whole unmanned aerial vehicle group is minimum, and the service time of the unmanned aerial vehicle group is prolonged.

Description

technical field [0001] The present invention relates to the technical field of mobile edge computing, in particular to a mobile edge computing unmanned aerial vehicle swarm-assisted communication method for explosive traffic. Background technique [0002] With the rapid growth of mobile users and emerging diversified mobile applications (such as augmented reality, mobile online games, etc.), the resulting data traffic has also exploded. In particular, for some hot events (large-scale outdoor event sites, such as concerts, etc.), the explosive growth of data traffic will cause network congestion and seriously affect user experience, especially for delay-sensitive tasks such as video and voice. In such an environment of traffic explosion, a large amount of data traffic is generated, and the application of mobile edge computing technology is one of the effective countermeasures. Offload the computing tasks of mobile users in the target area to the edge network, reduce the amou...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/02H04W4/021H04W4/40H04W24/02G06N3/00G06N3/04G06N3/08G06Q10/04
CPCH04W4/021H04W4/027H04W4/40H04W24/02G06Q10/047G06N3/006G06N3/084G06N3/045Y02D30/70
Inventor 左思文刘义杨超蒋丽谢胜利
Owner GUANGDONG UNIV OF TECH
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