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arXiv · 2509.10867

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

Leonardo Grando·José Roberto Emiliano Leite·Edson Luiz Ursini
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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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Leonardo Grando, José Roberto Emiliano Leite, Edson Luiz Ursini. 2025-09-13. Agent-based Simulation for Drone Charging in an Internet of Things Environment System. https://arxiv.org/abs/2509.10867

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