Post-disaster unmanned aerial vehicle base station deployment method and system based on artificial bee colony algorithm

An artificial bee colony algorithm and drone base station technology, which is applied in the post-disaster drone base station deployment method and system field, can solve the problem of single consideration factors, and achieve the effects of improving adaptability, improving performance, and enhancing contrast

Active Publication Date: 2019-09-20
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the work aims to improve the overall network throughput, expand signal coverage, or reduce deployment costs and energy consumption, and the factors considered are relatively simple

Method used

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  • Post-disaster unmanned aerial vehicle base station deployment method and system based on artificial bee colony algorithm
  • Post-disaster unmanned aerial vehicle base station deployment method and system based on artificial bee colony algorithm
  • Post-disaster unmanned aerial vehicle base station deployment method and system based on artificial bee colony algorithm

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Embodiment 1

[0075] According to an aspect of one or more embodiments of the present disclosure, a post-disaster UAV base station deployment method based on artificial bee colony algorithm is provided.

[0076] Such as figure 1 As shown, a post-disaster UAV base station deployment method based on the artificial bee colony algorithm, the method includes:

[0077] A post-disaster UAV base station deployment method based on artificial bee colony algorithm, the method comprising:

[0078] (1) Establish a 3D scene with a specified size and distributed with several end users.

[0079] (2) Calculate the overall network throughput in the area, first calculate the network throughput of each end user, then consider the UAV-BS capacity constraints, and finally calculate the overall network throughput.

[0080] (3) Use the artificial bee colony algorithm to calculate the maximum overall network throughput and the corresponding optimal flight position of the UAV-BS in the air.

[0081] In the embodi...

Embodiment 2

[0154] According to an aspect of one or more embodiments of the present disclosure, there is provided a computer-readable storage medium.

[0155] A computer-readable storage medium, wherein a plurality of instructions are stored, and the instructions are suitable for being loaded and executed by a processor of a terminal device to execute the post-disaster UAV base station deployment method based on an artificial bee colony algorithm.

Embodiment 3

[0157] According to an aspect of one or more embodiments of the present disclosure, a terminal device is provided.

[0158] A terminal device, which includes a processor and a computer-readable storage medium, the processor is used to implement instructions; the computer-readable storage medium is used to store multiple instructions, and the instructions are suitable for being loaded by the processor and executing the described one A post-disaster UAV base station deployment method based on artificial bee colony algorithm.

[0159] These computer-executable instructions, when executed in a device, cause the device to perform the methods or processes described in accordance with various embodiments in the present disclosure.

[0160] In one or more embodiments of the present disclosure, a computer program product may include a computer-readable storage medium carrying computer-readable program instructions for carrying out various aspects of the present disclosure. A computer ...

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Abstract

The invention discloses a post-disaster unmanned aerial vehicle base station deployment method and system based on an artificial bee colony algorithm. The method comprises the steps of constructing an unmanned aerial vehicle base station three-dimensional scene with a preset size and distributed with a plurality of terminal users; calculating the network throughput of each terminal user in the scene area, and calculating the overall network throughput according to the capacity constraint of the unmanned aerial vehicle base station; calculating the maximum overall network throughput and the optimal flight position of the corresponding unmanned aerial vehicle base station in the air by adopting an artificial bee colony algorithm, and deploying the unmanned aerial vehicle base station.

Description

technical field [0001] The disclosure belongs to the technical field of drones and wireless networks, and relates to a post-disaster drone base station deployment method and system based on an artificial bee colony algorithm. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] After large-scale communication interruptions due to natural disasters such as earthquakes, floods, and mudslides, the common emergency communication system is emergency communication vehicles. However, when roads are damaged or collapsed, traffic is blocked, which often makes it difficult for emergency communication vehicles to deploy according to local conditions. In addition, the antenna height of the emergency communication vehicle is also limited, making it difficult to achieve large-area signal coverage. Therefore, in the fields of disaster relief command and sig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/90H04W16/18H04B7/185G06N3/00
CPCG06N3/006H04B7/18504H04W16/18H04W4/90
Inventor 陆佃杰李佳流源李振张桂娟庞亚伟田杰乔静萍
Owner SHANDONG NORMAL UNIV
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