Abstract: In resource-constrained emergency networks, task scheduling algorithms play a crucial role in allocating computational tasks and managing data transmission. Currently, centralized scheduling ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
Introduction: This work presents an adaptive ant colony (AdCO) framework for dynamic task management in heterogeneous Non-Terrestrial Network–Internet of Things (NTN-IoT) systems integrating Unmanned ...
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