Adaptive Optimization of Dynamic Heterogeneous Network Topologies: A Simulated Annealing Methodology

Zhuo, Ming; Yang, Peng; Chen, Junyi; Liu, Leyuan; Liu, C. L.

doi:10.1007/978-3-031-06788-4_49

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…A simulated annealing algorithm has a wide range of applications and is capable of handling complex optimization problems with large search spaces and nonlinear objective functions. It has been successfully applied to various real-world problems, including the traveling salesman problem [28], vehicle routing problem [29], scheduling problem [30], and parameter optimization in machine learning [31].…”

Section: Simulated Annealingmentioning

confidence: 99%

Optimizing Topology in Satellite–UAV Collaborative IoT: A Graph Partitioning Simulated Annealing Approach

Zhuo,

Feng,

Yang

et al. 2024

Drones

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Currently, space-based information networks, represented by satellite Internet, are rapidly developing. UAVs can serve as airborne mobile terminals, representing a novel node in satellite IoT, offering more accurate and robust data streaming for connecting global satellite–UAV collaborative IoT systems. It is characterized by high-speed dynamics, with node distances and visibility constantly changing over time. Therefore, there is a need for faster and higher-quality topology optimization research. A reliable, secure, and adaptable network topology optimization algorithm has been proposed to handle various complex scenarios. Additionally, considering the dynamic and time-varying nature of these types of networks, the concept of time slices has been introduced to accelerate the iterative efficiency of problem-solving. Experimental results demonstrate that the proposed algorithm is expected to exhibit better convergence and performance in subsequent iterations compared with traditional solutions. Besides being a solution for topology optimization, the proposed algorithm offers a new way of thinking, enabling the handling of larger satellite–UAV collaborative IoT systems.

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