日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

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arXiv:2509.10867

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

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

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著者: Leonardo Grando, José Roberto Emiliano Leite, Edson Luiz Ursini

分類: cs.MA, cs.NI, cs.RO

原文アブストラクト

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.