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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| Veröffentlicht in: | Journal of physics. Conference series Jg. 2083; H. 2; S. 22039 - 22044 |
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| 1. Verfasser: | |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
IOP Publishing
01.11.2021
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| Schlagworte: | |
| ISSN: | 1742-6588, 1742-6596 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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 Traditional clustering algorithms are no longer applicable because each drone has a different coverage area size and the traditional K-Means clustering algorithm has no limit on the number of heaps that can exceed the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. |
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| ISSN: | 1742-6588 1742-6596 |
| DOI: | 10.1088/1742-6596/2083/2/022039 |