Agent-based Simulation for Drone Charging in an Internet of Things Environment System

Leonardo Grando, José Roberto Emiliano Leite, Edson Luiz Ursini
9/13/2025
cs.MAcs.NIcs.RO

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Abstract

This paper presents an agent-based simulation model for coordinating battery recharging in drone swarms, focusing on applications in Internet of Things (IoT) and Industry 4.0 environments. The proposed model includes a detailed description of the simulation methodology, system architecture, and implementation. One practical use case is explored: Smart Farming, highlighting how autonomous coordination strategies can optimize battery usage and mission efficiency in large-scale drone deployments. This work uses a machine learning technique to analyze the agent-based simulation sensitivity analysis output results.

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Cite this paper

@article{grando2025agentbased,
  title  = {Agent-based Simulation for Drone Charging in an Internet of Things Environment System},
  author = {Leonardo Grando and José Roberto Emiliano Leite and Edson Luiz Ursini},
  year   = {2025},
  eprint = {2509.10867},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2509.10867v1}
}

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