A heap strategy for UAV deployment issues under mobile terrestrial wireless communication networks

Unmanned on-board mobile base stations (MBSs) can more effectively solve wireless connectivity problems in terrestrial communication networks without fixed infrastructure. The purpose of this article is to minimize the number of MBS required to provide wireless coverage for a set of distributed grou...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 2083; no. 2; pp. 22039 - 22044
Main Author: Li, Yanlin
Format: Journal Article
Language:English
Published: IOP Publishing 01.11.2021
Subjects:
Optimize the K-Means clustering algorithm
Unmanned aerial vehicle
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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Summary:Unmanned on-board mobile base stations (MBSs) can more effectively solve wireless connectivity problems in terrestrial communication networks without fixed infrastructure. The purpose of this article is to minimize the number of MBS required to provide wireless coverage for a set of distributed ground terminals (GTs). Traditional clustering algorithms are no longer applicable because each drone has a different coverage area size and the traditional K-Means clustering algorithm has no limit on the number of heaps that can exceed the maximum coverage area of a single drone, making it impossible for a drone to provide services. In response to this problem, the traditional K-Means clustering algorithm is optimized, and the results of the optimized K-Means clustering algorithm are stacked to ensure that each pile has the corresponding drone capability to serve it.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2083/2/022039