Optimizing Tethered HAP Networks Configuration Using Genetic Algorithms

A tethered High altitude platform station (tHAPS) is a network node that operates in the aeronautical layer at an altitude of around 100 to 150 meters, playing a crucial role in providing communication services. It is linked to the ground through a tether. According to ITU recommendations [1], a tHAPS should have a wide coverage area with a radius of approximately 20 km. A network of multiple tHAPS can extend this coverage to serve an entire country. In this article, we discuss the scenario where multiple tHAPS are distributed across an area, each covering a circular region beneath them. We analyze the reliability of such a system and use a modified Genetic Algorithm (GA) to determine the optimal arrangement of tHAPS for a given region.

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Published
2024-12-15
DOI
https://doi.org/10.1109/ants63515.2024.10898945
Citations
1
Primary Topic
Service-Oriented Architecture and Web Services
Type
article
Field-Weighted Citation Impact
0.78
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article

Optimizing Tethered HAP Networks Configuration Using Genetic Algorithms

Dmitry Kozyrev, Priyanka Kalita, Vladimir Vishnevsky, Dharmaraja Selvamuthu et al.
1 citations
Service-Oriented Architecture and Web Services
0.78
article

Optimizing Tethered HAP Networks Configuration Using Genetic Algorithms

Dmitry Kozyrev, Priyanka Kalita, Vladimir Vishnevsky, Dharmaraja Selvamuthu, Raina Raj, Adwaith H Sivam
article en
1 citations

Abstract

A tethered High altitude platform station (tHAPS) is a network node that operates in the aeronautical layer at an altitude of around 100 to 150 meters, playing a crucial role in providing communication services. It is linked to the ground through a tether. According to ITU recommendations [1], a tHAPS should have a wide coverage area with a radius of approximately 20 km. A network of multiple tHAPS can extend this coverage to serve an entire country. In this article, we discuss the scenario where multiple tHAPS are distributed across an area, each covering a circular region beneath them. We analyze the reliability of such a system and use a modified Genetic Algorithm (GA) to determine the optimal arrangement of tHAPS for a given region.

V. A. Trapeznikov Institute of Control Sciences (RU), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 17%
Service-Oriented Architecture and Web Services
0.78
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Optimizing Tethered HAP Networks Configuration Using Genetic Algorithms — Dmitry Kozyrev, Priyanka Kalita, et al. · (2024) | TGRS Research Map | TGRS