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A Hybrid Ant Colony Optimization and Tabu Search Algorithm for Routing Optimization in LEO Satellite Networks | IEEE Conference Publication | IEEE Xplore

A Hybrid Ant Colony Optimization and Tabu Search Algorithm for Routing Optimization in LEO Satellite Networks


Abstract:

To optimize routing costs and communication delays in LEO satellite networks, a hybrid ACO and tabu search algorithm is proposed. Simulation results shows compared to the...Show More

Abstract:

To optimize routing costs and communication delays in LEO satellite networks, a hybrid ACO and tabu search algorithm is proposed. Simulation results shows compared to the original ACO algorithm, it reduced routing costs and delay.
Date of Conference: 26-29 July 2024
Date Added to IEEE Xplore: 03 September 2024
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Conference Location: Harbin, China

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Citations are not available for this document.

I. Introduction

With the development of fifth-generation communication technology, satellite communication has become an effective supplement to terrestrial networks [1]. LEO networks extend reliable communication services to regions where terrestrial connectivity is either unavailable or economically unfeasible [2]. This enhances global access to high-speed internet and supports critical tasks such as environmental monitoring, global positioning, and emergency communication during disasters [3]. However, routing optimization problem in satellite networks is currently an important challenge. The dynamic nature of LEO network requires advanced algorithms that can adapt to frequent changes in satellite positions and the resultant variations in network connectivity.

Cites in Papers - |

Cites in Papers - IEEE (1)

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1.
Weishi Peng, Haopeng Li, Yijie Gu, Liang Shi, Lisha Pang, Lili Ma, "An improved meta-heuristic optimization algorithm based on chaotic mapping inspired by the football team training", 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI), pp.866-870, 2024.
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References

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